Emre Kiciman

Partner Research Manager

Publications

Afficher par:

- Enterprise AI Must Enforce Participant-Aware Access Control
  
  Shashank Shreedhar Bhatt, Tanmay Rajore, Khushboo Aggarwal, Ganesh Ananthanarayanan, Ranveer Chandra, Nishanth Chandran, Suyash Choudhury, Divya Gupta, Emre Kiciman, Shrey Pandey, Srinath Setty, Rahul Sharma, Teijia Zhao
  
  arXiv:2509.14608 | September 2025
  
  Publié par arXiv
  
  Publication
- Direct Reasoning Optimization: LLMs Can Reward And Refine Their Own Reasoning for Open-Ended Tasks
  
  Yifei Xu, Tusher Chakraborty, Srinagesh Sharma, Leonardo Nunes, Emre Kiciman, Songwu Lu, Ranveer Chandra
  
  Arxiv | June 2025
  
  Preprint
- Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
  
  Katie Matton, Robert Osazuwa Ness, John Guttag, Emre Kiciman
  
  2025 International Conference on Learning Representations | April 2025
  
  Publication
- RLTHF: Targeted Human Feedback for LLM Alignment
  
  Yifei Xu, Tusher Chakraborty, Emre Kiciman, Bibek Aryal, Eduardo Rodrigues, Srinagesh Sharma, Roberto Estevao, Maria Angels de Luis Balaguer, Jessica Wolk, Rafael Padilha, Leonardo Nunes, Shobana Balakrishna, Songwu Lu, Ranveer Chandra
  
  ICML'25 | February 2025
  
  PDF
- Food Choice Mimicry on a Large University Campus
  
  Kristina Gligorić, A. Chiolero, Emre Kiciman, Ryen W. White, Eric Horvitz, R. West
  
  PNAS Nexus | December 2024
  
  DOI Publication Publication Publication Publication
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  Publié par Microsoft
  
  Publication Projet Projet
- Enabling Adoption of Regenerative Agriculture through Soil Carbon Copilots
  
  Margaret Capetz, Swati Sharma, Rafael Padilha, Peder Olsen, Jessica Wolk, Emre Kiciman, Ranveer Chandra
  
  ArXiv | November 2024, Vol abs/2411.16872
  
  DOI Publication Publication
- Artificial Intelligence–Based Copilots to Generate Causal Evidence
  
  Maya Petersen, Ahmed Alaa, Emre Kiciman, Chris Holmes, Mark van der Laan
  
  NEJM AI | November 2024
  
  DOI
- A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia
  
  Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West
  
  2024 Meeting of the Association for Computational Linguistics | August 2024
  
  DOI Publication Publication Publication DOI
- Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
  
  Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
  
  Transactions on Machine Learning Research (TMLR) | August 2024
  
  Outstanding Certification Finalist
  
  Selected for presentation at ICLR 2025
  
  Publication Preprint Projet
- Large Language Models as Co-Pilots for Causal Inference in Medical Studies
  
  Ahmed Alaa, Rachael V. Phillips, Emre Kiciman, Laura B. Balzer, M. V. D. Laan, Maya Petersen
  
  ArXiv | July 2024, Vol abs/2407.19118
  
  DOI Publication Publication
- Measuring and shaping the nutritional environment via food sales logs: case studies of campus-wide food choice and a call to action
  
  Kristina Gligorić, Robin Zbinden, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Eric Horvitz, Robert West
  
  Frontiers in Nutrition | June 2024, Vol 11
  
  DOI Publication Publication Publication
- Observer Effect in Social Media Use
  
  Koustuv Saha, Pranshu Gupta, Gloria Mark, Emre Kiciman, M. D. Choudhury
  
  Proceedings of the CHI Conference on Human Factors in Computing Systems | May 2024
  
  DOI Publication Publication
- Defending Against Indirect Prompt Injection Attacks With Spotlighting
  
  Keegan Hines, Gary Lopez, Matthew Hall, Federico Zarfati, Yonatan Zunger, Emre Kiciman
  
  ArXiv | March 2024, Vol abs/2403.14720
  
  DOI Publication Publication
- Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization
  
  Somya Sharma, Swati Sharma, Rafael Padilha, Emre Kiciman, Ranveer Chandra
  
  ArXiv | January 2024, Vol abs/2401.07175
  
  DOI Publication Publication
- Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
  
  Jingwei Yi, Yueqi Xie, Bin Benjamin Zhu, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
  
  ArXiv | December 2023, Vol abs/2312.14197
  
  DOI Publication Publication
- Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning
  
  Sara Abdali, Anjali Parikh, Steve Lim, Emre Kiciman
  
  ArXiv | December 2023, Vol abs/2312.06820
  
  DOI Publication Publication
- TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
  
  Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon
  
  ArXiv | November 2023, Vol abs/2311.01301
  
  DOI Publication Publication
- Sensitivity analysis for causality in observational studies for regulatory science
  
  Iván Díaz, Hana Lee, Emre Kiciman, E. Schenck, Mouna Akacha, Dean Follman, Debashis Ghosh
  
  Journal of Clinical and Translational Science | October 2023, Vol 7
  
  DOI Publication Publication Publication Publication
- Towards Modular Machine Learning Pipelines
  
  Aditya Modi, Jivat Neet Kaur, Maggie Makar, Pavan Mallapragada, Amit Sharma, Emre Kiciman, Adith Swaminathan
  
  2023 International Conference on Machine Learning | July 2023
  
  Publication
- Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science
  
  Somya Sharma, Swati Sharma, Licheng Liu, Rishabh Tushir, Andy Neal, Robert Osazuwa Ness, J. Crawford, Emre Kiciman, Ranveer Chandra
  
  ArXiv | June 2023, Vol abs/2306.09302
  
  DOI Publication Publication Publication
- A Causal Roadmap for Generating High-Quality Real-World Evidence
  
  Lauren E Dang, Susan Gruber, Hana Lee, Issa Dahabreh, Elizabeth A Stuart, Brian D Williamson, Richard Wyss, Iván Díaz, Debashis Ghosh, Emre Kiciman, Demissie Alemayehu, Katherine L Hoffman, Carla Y Vossen, Raymond A Huml, Henrik Ravn, Kajsa Kvist, Richard Pratley, Mei-Chiung Shih, Gene Pennello, David Martin, Salina P Waddy, Charles E Barr, Mouna Akacha, John B Buse, Mark van der Laan, Maya Petersen
  
  May 2023
  
  Publication Projet
- Counterfactual (Non-)identifiability of Learned Structural Causal Models
  
  Arash Nasr-Esfahany, Emre Kiciman
  
  January 2023
  
  Publication
- Observer Effect in Social Media Use
  
  Koustuv Saha, Pranshu Gupta, Gloria Mark, Emre Kiciman, Munmun De Choudhury
  
  January 2023
  
  Honorable Mention, CHI 2024
  
  Preprint
- Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
  
  Jivat Neet Kaur, Emre Kiciman, Amit Sharma
  
  International Conference on Learning Representations (ICLR) | January 2023
  
  Notable Top-25% of accepted papers
  
  Publication Projet
- Invariant Language Modeling
  
  Maxim Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West
  
  2022 Empirical Methods in Natural Language Processing | December 2022
  
  Publication
- A Causal AI Suite for Decision-Making
  
  Emre Kiciman, Eleanor Dillon, Darren Edge, Adam Foster, Agrin Hilmkil, Joel Jennings, Chao Ma, Robert Osazuwa Ness, Nick Pawlowski, Amit Sharma, Cheng Zhang
  
  NeurIPS 2022 Workshop on Causality for Real-world Impact | December 2022
  
  Publication Projet Projet Projet
- I Know Your Triggers: Defending against Textual Backdoor Attacks with Benign Backdoor Augmentation
  
  Yue Gao, Jack W. Stokes, Manoj Prasad, Andrew T. Marshall, Kassem Fawaz, Emre Kiciman
  
  Military Communications Conference | November 2022
  
  Publication Projet
- Causal Modeling of Soil Processes for Improved Generalization
  
  Somya Sharma, Swati Sharma, Andy Neal, Sara Malvar, Eduardo Rodrigues, John Crawford, Emre Kiciman, Ranveer Chandra
  
  NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | November 2022
  
  Publication
- Deep End-to-end Causal Inference
  
  Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Agrin Hilmkil, Joel Jennings, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
  
  NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022) | November 2022
  
  Publication Projet Projet
- Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems
  
  Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma
  
  NeurIPS 2022 Workshop on Distribution Shifts (DistShift) | November 2022
  
  Publication
- Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
  
  Jivat Neet Kaur, Emre Kiciman, Amit Sharma
  
  Workshop on Spurious Correlations, Invariance, and Stability, ICML 2022 | July 2022
  
  Spotlight
  
  Publication Projet
- Causal Inference in the Presence of Interference in Sponsored Search Advertising
  
  Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman
  
  Frontiers in Big Data | June 2022, Vol 5
  
  Publication
- Population-scale dietary interests during the COVID-19 pandemic.
  
  Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Robert West
  
  Nature Communications | February 2022, Vol 13(1073)
  
  Publication DOI Vidéo Projet
- Deep End-to-end Causal Inference
  
  Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman (emrek), Amit Sharma, Martin Kukla, Nick Pawlowski, Miltos Allamanis, Cheng Zhang
  
  MSR-TR-2022-1 | February 2022
  
  Publié par Microsoft
  
  Publication Projet Projet
- Investigations of Performance and Bias in Human-AI Teamwork in Hiring
  
  Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
  
  AAAI 2022 | February 2022
  
  Publication Accès
- Formation of Social Ties Predicts Food Choice: A Campus-wide Longitudinal Study
  
  Kristina Gligorić, Ryen W. White, Emre Kiciman, Eric Horvitz, Arnaud Chiolero, Robert West
  
  CM Conference on Computer-Supported Cooperative Work and Social Computing CSCW | October 2021
  
  Honorable Mention
  
  Publication
- Invariant Language Modeling
  
  Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Robert West
  
  EMNLP 2022 | October 2021
  
  Publication
- DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions
  
  Amit Sharma, Cheng Zhang, Vasilis Syrgkanis, Emre Kiciman
  
  MSR-TR-2021-15 | July 2021
  
  Publié par ICML 2021 workshop on the Neglected Assumptions in Causal Inference
  
  Publication Projet Projet
- Measuring algorithmically infused societies
  
  Claudia Wagner, Markus Strohmaier, Alexandra Olteanu, Emre Kiciman, Noshir Contractor, Tina Eliassi-Rad
  
  Nature | June 2021, Vol 595: pp. 197-204
  
  Publication Publication
- Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction
  
  Shuxi Zeng, Murat Ali Bayir, Joel Pfeiffer, Denis Charles, Emre Kiciman
  
  14th ACM Intl Conf. on Web Search and Data Mining (WSDM) | March 2021
  
  Publication
- Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
  
  Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
  
  ACM Intl. Conf. on Web Search and Data Mining (WSDM) | March 2021
  
  PDF Publication Publication Projet
- Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix
  
  Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman
  
  January 2021
  
  arXiv
  
  Publication
- DoWhy: An End-to-End Library for Causal Inference
  
  Amit Sharma, Emre Kiciman
  
  November 2020
  
  Causal Data Science Meeting (https://causalscience.org/)
  
  Publication Vidéo Github Projet
- Security and Machine Learning in the Real World
  
  Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li
  
  July 2020
  
  Publication
- AvE: Assistance via Empowerment
  
  Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca Dragan
  
  June 2020
  
  Publication
- External Information Sharing on Health Forums: An Exploration
  
  Dana Nguyen, Alexandra Olteanu, Emre Kiciman
  
  Intl. Conf. on Web and Social Media (ICWSM) | June 2020
  
  PDF
- Novel Human-Object Interaction Detection via Adversarial Domain Generalization
  
  Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C.-C. Jay Kuo, Pengchuan Zhang
  
  May 2020
  
  Publication
- Causal Transfer Random Forest: Leveraging Observational and Randomization Studies
  
  Shuxi Zeng, Emre Kiciman, Denis Charles, Joel Pfeiffer, Murat Ali Bayir
  
  December 2019
  
  NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
- Robust Neural Networks for Causal Invariant Features Extraction
  
  Shuxi Zeng, Pengchuan Zhang, Denis Charles, Eren Manavoglu, Emre Kiciman
  
  December 2019
  
  NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
- What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
  
  Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
  
  7th Conference on Human Computation and Crowdsourcing (HCOMP 2019) | September 2019
  
  Publication PDF
- Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
  
  Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
  
  Frontiers in Big Data | July 2019, Vol 2
  
  DOI Publication
- A Social Media Study on the Effects of Psychiatric Medication Use
  
  Koustuv Saha, Benjamin Sugar, John Torous, Bruno Abrahao, Emre Kiciman, Munmun De Choudhury
  
  International AAAI Conference on Web and Social Media (ICWSM 2019) | June 2019
  
  Outstanding Study Design Paper Award
  
  Projet
- People and AI See Things Different Implications of Mismatched Perception on HCI for AI Systems
  
  Saleema Amershi, Ece Kamar, Emre Kiciman
  
  Workshop on Human-Centered Machine Learning Perspectives at CHI 2019 | May 2019
- A Distillation Approach to Data Efﬁcient Individual Treatment Effect Estimation
  
  Maggie Makar, Adith Swaminathan, Emre Kiciman
  
  AAAI-19 | January 2019
  
  PDF
- Geographically Resolved Rhythms in Twitter Use Reveal Social Pressures on Daily Activity Patterns
  
  Eugene Leypunskiy, Emre Kiciman, Mili Shah, Olivia J. Walch, Andrey Rzhetsky, Aaron R. Dinner, Michael J. Rust
  
  Current Biology | November 2018, Vol 28: pp. 3763-3775
  
  DOI Publication
- Integrating Artificial and Human Intelligence in Complex, Sensitive Problem Domains: Experiences from Mental Health
  
  Munmun De Choudhury, Emre Kiciman
  
  AI Magazine | September 2018, Vol 39(3)
  
  Publication Projet
- Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
  
  Emre Kiciman, Jorgen Thelin
  
  1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
  
  Publication Publication Publication Projet
- Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use
  
  Emre Kiciman, Scott Counts, Melissa Gasser
  
  In Proceedings of 12th International Conference on Web and Social Media (ICWSM-18) | June 2018
  
  Publication
- Conjunction of factors triggering waves of seasonal influenza
  
  Ishanu Chattopadhyay, Emre Kiciman, Joshua W. Elliott, Jeffrey L. Shaman, Andrey Rzhetsky
  
  eLife | February 2018, Vol 7: pp. e30756
  
  Publication Publication
- Wildbook: Crowdsourcing, computer vision, and data science for conservation
  
  Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Jason A. Holmberg, Jason Parham, Jonathan Crall, Sreejith Menon, Jon Van Oast, Emre Kiciman, Lucas Joppa
  
  Bloomberg Data for Good Exchange | September 2017
  
  Publication
- Conjunction of Factors Triggering Waves of Seasonal Influenza
  
  Ishanu Chattopadhyay, Emre Kiciman, Joshua Elliott, Jeffrey Shaman, Andrey Rzhetsky
  
  BioRxiv | July 2017
  
  Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence, ® Montreal, QU
  
  Publication Publication Publication
- Animal Population Estimation Using Flickr Images
  
  Sreejith Menon, Tanya Berger-Wolf, Emre Kiciman, Lucas Joppa, Charles V. Stewart, Jason Parham, Jonathan Crall, Jason Holmberg, Jonathan Van Oast
  
  In Proceedings of 2nd International Workshop on the Social Web for Environmental and Ecological Monitoring (SWEEM 2017) | June 2017
  
  Publication
- The Language of Social Support in Social Media and its Effect on Suicidal Ideation Risk
  
  Munmun De Choudhury, Emre Kiciman
  
  Proceedings of the International Conference on Web and Social Media (ICWSM-17) | May 2017
  
  Best Paper Award
  
  Publication Projet
- Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media
  
  Alexandra Olteanu, Onur Varol, Emre Kiciman
  
  Proceedings of The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing | February 2017
  
  ISBN: 978-1-4503-4335-0/17/03
  
  Publication Publication Accès Projet
- Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
  
  Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
  
  December 2016
  
  Publication Publication Vidéo
- Information Dissemination in Heterogeneous-Intent Networks
  
  Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman, Onur Varol
  
  Web Science | May 2016
  
  Publication
- Towards an Open-Domain Framework for Distilling the Outcomes of Personal Experiences from Social Media Timelines
  
  Alexandra Olteanu, Onur Varol, Emre Kiciman
  
  International Conference on Web and Social Media (ICWSM) | May 2016
  
  Publication
- Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media
  
  Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, Mrinal Kumar
  
  CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems | May 2016
  
  Honorable Mention
  
  Publication Publication Projet
- Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media
  
  Munmun De Choudhury, Sanket S. Sharma, Emre Kiciman
  
  19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | February 2016
  
  19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
  
  Publication
- Online and Social Media Data As an Imperfect Continuous Panel Survey
  
  Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
  
  PlosONE | January 2016, Vol 11
  
  Publication Publication Accès
- Persona-ization: Searching on Behalf of Others
  
  Paul N. Bennett, Alexander Fishkov, Emre Kiciman
  
  Proceedings of the SIGIR 2015 International Workshop on Social Personalisation & Search (SPS'15) | August 2015
  
  International Workshop on Social Personalisation & Search (SPS 2015)
  
  Publication
- Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships from Social Media
  
  Emre Kiciman, Matthew Richardson
  
  KDD '15 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2015
  
  Knowledge Discovery and Data Mining (KDD)
  
  Publication Publication
- Towards Learning a Knowledge Base of Actions from Experiential Microblogs
  
  Emre Kiciman
  
  AAAI Spring Symposium on Knowledge Representation and Reasoning | March 2015
  
  AAAI Spring Symposium on Knowledge Representation and Reasoning
  
  Publication
- Discussion Graphs: Putting Social Media Analysis in Context
  
  Emre Kiciman, Scott Counts, Michael Gamon, Munmun De Choudhury, Bo Thiesson
  
  Intl. Conf. on Weblogs and Social Media (ICWSM-14) | June 2014
  
  Publication Projet Projet
- Online And Social Media Data As A Flawed Continuous Panel Survey
  
  Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
  
  MSR-TR-2014-159 | May 2014
  
  Publication Projet
- Effect of Persuasion on Information Diffusion in Social Networks
  
  Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman
  
  MSR-TR-2014-69 | May 2014
  
  Publication
- Entity Linking at the Tail: Sparse Signals, Unknown Entities and Phrase Models
  
  Yuzhe Jin, Emre Kiciman, Kuansan Wang, Ricky Loynd
  
  WSDM '14 Proceedings of the 7th ACM international conference on Web search and data mining | February 2014
  
  Publication Publication
- Smart Societies: From Citizens as Sensors to Collective Action
  
  Andrés Monroy-Hernández, Shelly D. Farnham, Ph.D., Emre Kiciman, Scott Counts, Munmun De Choudhury
  
  interactions | July 2013
  
  Publication
- To Link or Not to Link? A Study on End-to-End Tweet Entity Linking
  
  Stephen Guo, Ming-Wei Chang, Emre Kiciman
  
  NAACL-HLT 2013 | June 2013
  
  Publication
- The New War Correspondents: The Rise of Civic Media Curation in Urban Warfare
  
  Andrés Monroy-Hernández, danah boyd, Emre Kiciman, Munmun De Choudhury, Munmun De Choudhury, Scott Counts
  
  The 16th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW) | February 2013
  
  Publication Projet
- Simple and Knowledge-intensive Generative Model for Named Entity Recognition
  
  Chun-Kai Wang, Bo-June (Paul) Hsu, Ming-Wei Chang, Emre Kiciman
  
  MSR-TR-2013-3 | January 2013
  
  Publication
- Click Patterns: An Empirical Representation of Complex Query Intents
  
  Huizhong Duan, Emre Kiciman, Chengxiang Zhai
  
  21st ACM International Conference on Information and Knowledge Management (CIKM 2012) | October 2012
  
  21st ACM International Conference on Information and Knowledge Management (CIKM 2012)
  
  Publication
- Keeping Information Safe from Social Networking Apps
  
  Bimal Viswanath, Emre Kiciman, Stefan Saroiu
  
  Proceedings of the Workshop on Online Social Networks (WOSN'12) | August 2012
  
  Publication
- Tweeting the Drug War: Empowerment, Intimidation, and Regulation in Social Media
  
  Emre Kiciman, danah boyd, Scott Counts, Andrés Monroy-Hernández
  
  Human Computer Interaction International Conference | June 2012
  
  HCIC
  
  Publication
- «Narcotweets»: Social Media in Wartime
  
  Andrés Monroy-Hernández, Emre Kiciman, danah boyd, Scott Counts
  
  The 6th Intl. Conference on Weblogs and Social Media (ICWSM) | June 2012
  
  Publication
- OMG, I have to Tweet that! A Study of Factors that Influence Tweet Rates
  
  Emre Kiciman
  
  The 6th Intl. Conference on Weblogs and Social Media (ICWSM) | June 2012
  
  Publication
- AjaxScope: A Platform for Remotely Monitoring the Client-Side Behavior of Web 2.0 Applications
  
  Emre Kiciman, Benjamin Livshits, Ben Livshits
  
  ACM Transactions on the Web (TWEB) | September 2010
  
  This journal article is an extension of our SOSP paper on AjaxScope, and discusses significant follow-on work, including Doloto and MEDic. MEDic is a control and visualizatio ntool for Web application instrumentation to enable on-line debugging; and Doloto, a code splitter that optimizes Web application download time based on analysis of its runtime behavior.
  
  Publication Projet
- Language Differences and Metadata Features on Twitter
  
  Emre Kiciman
  
  Web N-gram Workshop at SIGIR 2010 | July 2010
  
  Publication
- Fluxo: A System for Internet Service Programming by Non-expert Developers
  
  Emre Kiciman, Ben Livshits, Madan Musuvathi, Kevin C. Webb
  
  ACM Symposium on Cloud Computing | January 2010
  
  Publication
- FLUXO: A Simple Service Compiler
  
  Emre Kiciman, Ben Livshits, Madan Musuvathi
  
  12th Workshop on Hot Topics in Operating Systems | May 2009
  
  12th Workshop on Hot Topics in Operating Systems
  
  Publication
- (Short Paper) Improving the Responsiveness of Internet Services with Automatic Cache Placement
  
  Alex Rasmussen, Emre Kiciman, Ben Livshits, Madan Musuvathi
  
  EuroSys 2009 | April 2009
  
  Publication
- Doloto: Code Splitting for Network-Bound Web 2.0 Applications
  
  Ben Livshits, Emre Kiciman
  
  Foundations of Software Engineering (FSE) | November 2008
  
  Foundations of Software Engineering (FSE)
  
  Publication Projet
- Doloto: Code Splitting for Network-Bound Web 2.0 Applications
  
  Emre Kiciman, Ben Livshits
  
  MSR-TR-2007-159 | December 2007
  
  Publication Projet
- Fast Variational Inference for Large-scale Internet Diagnosis
  
  John Platt, Emre Kiciman, Dave Maltz
  
  The Conference on Neural Information Processing Systems (NIPS) | December 2007
  
  Publication
- AjaxScope: A Platform for Remotely Monitoring the Client-side Behavior of Web 2.0 Applications
  
  Emre Kiciman, Ben Livshits
  
  The 21st ACM Symposium on Operating Systems Principles (SOSP'07) | October 2007
  
  Publication Publication Projet
- The Roma Personal Metadata Service
  
  Edward Swierk, Emre Kiciman, Vince Laviano, Mary Baker
  
  The 3rd IEEE Workshop on Mobile Computing Systems and Applications | May 2007
  
  Publication
- Live Monitoring: Using Adaptive Instrumentation and Analysis to Debug and Maintain Web Applications
  
  Emre Kiciman, Helen Wang
  
  The 11th Workshop on Hot Topics in Operating Systems (HotOS XI) | May 2007
  
  The 11th Workshop on Hot Topics in Operating Systems (HotOS XI)
  
  Publication Projet
- Flight Data Recorder: Always-on Tracing and Scalable Analysis of Persistent State Interactions to Improve Systems and Security Management
  
  Emre Kiciman, Brad Daniels, Arunvijay Kumar, Yi-Min Wang, Roussi Roussev, Shan Lu, Juhan Lee, Chad Verbowski
  
  The 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI '06) | November 2006
  
  Publication
- Mining Web Logs to Debug Distant Connectivity Problems
  
  Emre Kiciman, Dave Maltz, Moises Goldszmidt, John Platt
  
  ACM SIGCOMM Workshop on Mining Network Data (MineNet-06) | September 2006
  
  Publication
- Autonomic network management: Some pragmatic considerations
  
  Richard Mortier, Emre Kiciman
  
  ACM SIGCOMM Workshop on Internet Network Management (INM) | September 2006
  
  Publication
- Mining Web Logs to Debug Distant Connectivity Problems
  
  Emre Kiciman, Dave Maltz, Moises Goldszmidt, John Platt
  
  ACM SIGCOMM Workshop on Mining Network Data (MineNet-06) | September 2006
  
  ACM SIGCOMM Workshop on Mining Network Data (MineNet-06)
  
  Publication Publication
- Analyzing Persistent State Interactions to Improve State Management
  
  Emre Kiciman, Brad Daniels, Shan Lu, Roussi Roussev, Yi-Min Wang, Chad Verbowski, Juhan Lee
  
  ACM SIGMETRICS 2006 | June 2006
  
  ACM SIGMETRICS 2006
  
  Short Paper.
  
  Publication
- Analyzing Persistent State Interactions to Improve State Management
  
  Chad Verbowski, Emre Kiciman, Brad Daniels, Shan Lu, Roussi Roussev, Yi-Min Wang, Juhan Lee
  
  MSR-TR-2006-39 | April 2006
  
  Publication
- Detecting Application-Level Failures in Component-based Internet Services
  
  Emre Kiciman, Armando Fox
  
  IEEE Transactions on Neural Networks: Special Issue on Adaptive Learning Systems in Communication Networks | September 2005
  
  Publication
- Using Statistical Monitoring to Detect Failures in Internet Services
  
  Emre Kiciman
  
  September 2005
  
  September 2005
  
  Publication
- Root Cause Localization in Large Scale Systems
  
  Emre Kiciman, Lakshminarayanan Subramanian
  
  Proceedings of the First Workshop on Hot Topics in System Dependability (HotDep) | June 2005
  
  Publication
- Combining Statistical Monitoring and Predictable Recovery for Self-Management
  
  Armando Fox, Emre Kiciman, David Patterson, Michael Jordan, Randy Katz
  
  2004 Workshop on Self-Managed Systems (WOSS'04) in conjunction with ACM SIGSOFT FSE-12 | October 2004
  
  2004 Workshop on Self-Managed Systems (WOSS'04) in conjunction with ACM SIGSOFT FSE-12
  
  Earlier version presented at 2nd Bertinoro Workshop on Future Directions in Distributed Computing (FuDiCo II): Survivability: Obstacles and Solutions, June 2004
  
  Publication
- Discovering Correctness Constraints for Self-Management of System Configuration
  
  Emre Kiciman, Yi-Min Wang
  
  MSR-TR-2004-22 | March 2004
  
  Publication Publication
- Path-Based Failure and Evolution Management
  
  Mike Y. Chen, Anthony Accardi, Emre Kiciman, Jim Lloyd, Dave Patterson, Armando Fox, Eric Brewer
  
  The 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04) | March 2004
  
  The 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04)
  
  Publication
- Session State: Beyond Soft State
  
  Benjamin C. Ling, Emre Kiciman, Armando Fox
  
  the 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04) | March 2004
  
  Publication
- JAGR: An Autonomous Self-Recovering Application Server
  
  George Candea, Emre Kiciman, Steve Zhang, Pedram Keyani, Armando Fox
  
  The 5th International Workshop on Active Middleware Services | June 2003
  
  Publication
- Using Runtime Paths for Macro Analysis
  
  Mike Chen, Emre Kiciman, Anthony Accardi, Armando Fox, Eric Brewer
  
  9th Workshop on Hot Topics in Operating Systems | May 2003
  
  Publication
- The Roma Personal Metadata Service
  
  Edward Swierk, Emre Kiciman, Nathan C. Williams, Takashi Fukushima, Hideki Yoshida, Vince Laviano, Mary Baker
  
  ACM Baltzer Mobile Networks and Applications | October 2002
  
  Publication
- Recovery Oriented Computing: Motivation, Definition, Principles, and Examples
  
  David Patterson, Aaron Brown, Pete Broadwell, George Candea, Mike Chen, James Cutler, Patricia Enriquez, Armando Fox, Emre Kiciman, Matthew Merzbacher, David Oppenheimer, Naveen Sastry, William Tetzlaff, Jonathan Traupman, Noah Treuhaft
  
  | March 2002
  
  Ph.D. thesis (supervisors: Li Deng, Paul Fieguth, University of Waterloo, Ontario, Canada)
  
  Publication
- An Online Evolutionary Approach to Developing Internet Services
  
  Mike Y. Chen, Emre Kiciman, Eric Brewer
  
  SIGOPS European Workshop | January 2002
  
  Extended Abstract
  
  Publication
- Designing for Maintainability, Failure Resilience, and Evolvability in Ubiquitous Computing Software
  
  Shankar Ponnekanti, Brad Johanson, Emre Kiciman, Armando Fox
  
  | January 2002
  
  PG 2006
  
  Publication
- Pinpoint: Problem Determination in Large, Dynamic, Internet Services
  
  Mike Chen, Emre Kiciman, Eugene Fratkin, Armando Fox, Eric Brewer
  
  The International Conference on Dependable Systems and Networks (IPDS Track) | January 2002
  
  Publication
- Using Internet Services to Manage Massive Evolving Information for Ubiquitous Computing Systems
  
  Emre Kiciman
  
  Ubicomp 2002 Doctoral Consortium. In the Adjunct Proceedings of the Fourth International Conference on Ubiquitous Computing (Ubicomp) 2002 | January 2002
  
  Ubicomp 2002 Doctoral Consortium. In the Adjunct Proceedings of the Fourth International Conference on Ubiquitous Computing (Ubicomp) 2002
  
  Publication
- System Support for Interactive Workspaces
  
  Brad Johanson, Shankar Ponnekanti, Emre Kiciman, Caesar Sengupta, Armando Fox
  
  PTN-2001-1 | July 2001
  
  TLDI '03 Proceedings of the 2003 ACM SIGPLAN international workshop on Types in Languages Design and Implementation
  
  Publication Publication
- Towards Zero-Code Service Composition (Position paper)
  
  Emre Kiciman, Laurence Melloul
  
  The Eighth Workshop in Hot Topics in Operating Systems | May 2001
  
  Publication
- ICEBERG: An Internet-core Network Architecture for Integrated Communications
  
  Helen Wang, Bhaskaran Raman, Chen-nee Chuah, Rahul Biswas, Ramakrishna Gummadi, Barbara Hohlt, Xia Hong, Emre Kiciman, Zhuoqing Mao, Jimmy S. Shih, Lakshminarayanan Subramanian, Ben Y. Zhao, Anthony D. Joseph, Randy H. Katz
  
  IEEE Personal Communications | April 2000
  
  Publication
- ICEBERG: An Internet-core Network Architecture for Integrated Communications
  
  Helen Wang, Bhaskaran Raman, Chen-nee Chuah, Rahul Biswas, Ramakrishna Gummadi, Barbara Hohlt, Xia Hong, Emre Kiciman, Zhuoqing Mao, Jimmy S. Shih, Lakshminarayanan Subramanian, Ben Y. Zhao, Anthony D. Joseph, Randy Katz
  
  IEEE Personal Communications: Special Issue on IP-based Mobile Telecommunications Networks | January 2000
  
  Publication
- Using Dynamic Mediation to Integrate COTS Entities in a Ubiquitous Computing Environment
  
  Emre Kiciman, Armando Fox
  
  Second International Symposium on Handheld and Ubiquitous Computing | January 2000
  
  Publication

- Enterprise AI Must Enforce Participant-Aware Access Control
  
  Shashank Shreedhar Bhatt, Tanmay Rajore, Khushboo Aggarwal, Ganesh Ananthanarayanan, Ranveer Chandra, Nishanth Chandran, Suyash Choudhury, Divya Gupta, Emre Kiciman, Shrey Pandey, Srinath Setty, Rahul Sharma, Teijia Zhao
  
  arXiv:2509.14608 | September 2025
  
  Publié par arXiv
  
  Publication
- Direct Reasoning Optimization: LLMs Can Reward And Refine Their Own Reasoning for Open-Ended Tasks
  
  Yifei Xu, Tusher Chakraborty, Srinagesh Sharma, Leonardo Nunes, Emre Kiciman, Songwu Lu, Ranveer Chandra
  
  Arxiv | June 2025
  
  Preprint
- Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
  
  Katie Matton, Robert Osazuwa Ness, John Guttag, Emre Kiciman
  
  2025 International Conference on Learning Representations | April 2025
  
  Publication
- RLTHF: Targeted Human Feedback for LLM Alignment
  
  Yifei Xu, Tusher Chakraborty, Emre Kiciman, Bibek Aryal, Eduardo Rodrigues, Srinagesh Sharma, Roberto Estevao, Maria Angels de Luis Balaguer, Jessica Wolk, Rafael Padilha, Leonardo Nunes, Shobana Balakrishna, Songwu Lu, Ranveer Chandra
  
  ICML'25 | February 2025
  
  PDF
- Food Choice Mimicry on a Large University Campus
  
  Kristina Gligorić, A. Chiolero, Emre Kiciman, Ryen W. White, Eric Horvitz, R. West
  
  PNAS Nexus | December 2024
  
  DOI Publication Publication Publication Publication
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  Publié par Microsoft
  
  Publication Projet Projet
- Enabling Adoption of Regenerative Agriculture through Soil Carbon Copilots
  
  Margaret Capetz, Swati Sharma, Rafael Padilha, Peder Olsen, Jessica Wolk, Emre Kiciman, Ranveer Chandra
  
  ArXiv | November 2024, Vol abs/2411.16872
  
  DOI Publication Publication
- Artificial Intelligence–Based Copilots to Generate Causal Evidence
  
  Maya Petersen, Ahmed Alaa, Emre Kiciman, Chris Holmes, Mark van der Laan
  
  NEJM AI | November 2024
  
  DOI
- A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia
  
  Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West
  
  2024 Meeting of the Association for Computational Linguistics | August 2024
  
  DOI Publication Publication Publication DOI
- Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
  
  Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
  
  Transactions on Machine Learning Research (TMLR) | August 2024
  
  Outstanding Certification Finalist
  
  Selected for presentation at ICLR 2025
  
  Publication Preprint Projet
- Large Language Models as Co-Pilots for Causal Inference in Medical Studies
  
  Ahmed Alaa, Rachael V. Phillips, Emre Kiciman, Laura B. Balzer, M. V. D. Laan, Maya Petersen
  
  ArXiv | July 2024, Vol abs/2407.19118
  
  DOI Publication Publication
- Measuring and shaping the nutritional environment via food sales logs: case studies of campus-wide food choice and a call to action
  
  Kristina Gligorić, Robin Zbinden, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Eric Horvitz, Robert West
  
  Frontiers in Nutrition | June 2024, Vol 11
  
  DOI Publication Publication Publication
- Observer Effect in Social Media Use
  
  Koustuv Saha, Pranshu Gupta, Gloria Mark, Emre Kiciman, M. D. Choudhury
  
  Proceedings of the CHI Conference on Human Factors in Computing Systems | May 2024
  
  DOI Publication Publication
- Defending Against Indirect Prompt Injection Attacks With Spotlighting
  
  Keegan Hines, Gary Lopez, Matthew Hall, Federico Zarfati, Yonatan Zunger, Emre Kiciman
  
  ArXiv | March 2024, Vol abs/2403.14720
  
  DOI Publication Publication
- Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization
  
  Somya Sharma, Swati Sharma, Rafael Padilha, Emre Kiciman, Ranveer Chandra
  
  ArXiv | January 2024, Vol abs/2401.07175
  
  DOI Publication Publication
- Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
  
  Jingwei Yi, Yueqi Xie, Bin Benjamin Zhu, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
  
  ArXiv | December 2023, Vol abs/2312.14197
  
  DOI Publication Publication
- Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning
  
  Sara Abdali, Anjali Parikh, Steve Lim, Emre Kiciman
  
  ArXiv | December 2023, Vol abs/2312.06820
  
  DOI Publication Publication
- TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
  
  Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon
  
  ArXiv | November 2023, Vol abs/2311.01301
  
  DOI Publication Publication
- Sensitivity analysis for causality in observational studies for regulatory science
  
  Iván Díaz, Hana Lee, Emre Kiciman, E. Schenck, Mouna Akacha, Dean Follman, Debashis Ghosh
  
  Journal of Clinical and Translational Science | October 2023, Vol 7
  
  DOI Publication Publication Publication Publication
- Towards Modular Machine Learning Pipelines
  
  Aditya Modi, Jivat Neet Kaur, Maggie Makar, Pavan Mallapragada, Amit Sharma, Emre Kiciman, Adith Swaminathan
  
  2023 International Conference on Machine Learning | July 2023
  
  Publication
- Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science
  
  Somya Sharma, Swati Sharma, Licheng Liu, Rishabh Tushir, Andy Neal, Robert Osazuwa Ness, J. Crawford, Emre Kiciman, Ranveer Chandra
  
  ArXiv | June 2023, Vol abs/2306.09302
  
  DOI Publication Publication Publication
- A Causal Roadmap for Generating High-Quality Real-World Evidence
  
  Lauren E Dang, Susan Gruber, Hana Lee, Issa Dahabreh, Elizabeth A Stuart, Brian D Williamson, Richard Wyss, Iván Díaz, Debashis Ghosh, Emre Kiciman, Demissie Alemayehu, Katherine L Hoffman, Carla Y Vossen, Raymond A Huml, Henrik Ravn, Kajsa Kvist, Richard Pratley, Mei-Chiung Shih, Gene Pennello, David Martin, Salina P Waddy, Charles E Barr, Mouna Akacha, John B Buse, Mark van der Laan, Maya Petersen
  
  May 2023
  
  Publication Projet
- Counterfactual (Non-)identifiability of Learned Structural Causal Models
  
  Arash Nasr-Esfahany, Emre Kiciman
  
  January 2023
  
  Publication
- Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
  
  Jivat Neet Kaur, Emre Kiciman, Amit Sharma
  
  International Conference on Learning Representations (ICLR) | January 2023
  
  Notable Top-25% of accepted papers
  
  Publication Projet
- Invariant Language Modeling
  
  Maxim Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West
  
  2022 Empirical Methods in Natural Language Processing | December 2022
  
  Publication
- A Causal AI Suite for Decision-Making
  
  Emre Kiciman, Eleanor Dillon, Darren Edge, Adam Foster, Agrin Hilmkil, Joel Jennings, Chao Ma, Robert Osazuwa Ness, Nick Pawlowski, Amit Sharma, Cheng Zhang
  
  NeurIPS 2022 Workshop on Causality for Real-world Impact | December 2022
  
  Publication Projet Projet Projet
- Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems
  
  Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma
  
  NeurIPS 2022 Workshop on Distribution Shifts (DistShift) | November 2022
  
  Publication
- Causal Modeling of Soil Processes for Improved Generalization
  
  Somya Sharma, Swati Sharma, Andy Neal, Sara Malvar, Eduardo Rodrigues, John Crawford, Emre Kiciman, Ranveer Chandra
  
  NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | November 2022
  
  Publication
- Deep End-to-end Causal Inference
  
  Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Agrin Hilmkil, Joel Jennings, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
  
  NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022) | November 2022
  
  Publication Projet Projet
- Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
  
  Jivat Neet Kaur, Emre Kiciman, Amit Sharma
  
  Workshop on Spurious Correlations, Invariance, and Stability, ICML 2022 | July 2022
  
  Spotlight
  
  Publication Projet
- Causal Inference in the Presence of Interference in Sponsored Search Advertising
  
  Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman
  
  Frontiers in Big Data | June 2022, Vol 5
  
  Publication
- Population-scale dietary interests during the COVID-19 pandemic.
  
  Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Robert West
  
  Nature Communications | February 2022, Vol 13(1073)
  
  Publication DOI Vidéo Projet
- Deep End-to-end Causal Inference
  
  Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman (emrek), Amit Sharma, Martin Kukla, Nick Pawlowski, Miltos Allamanis, Cheng Zhang
  
  MSR-TR-2022-1 | February 2022
  
  Publié par Microsoft
  
  Publication Projet Projet
- Investigations of Performance and Bias in Human-AI Teamwork in Hiring
  
  Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
  
  AAAI 2022 | February 2022
  
  Publication Accès
- Formation of Social Ties Predicts Food Choice: A Campus-wide Longitudinal Study
  
  Kristina Gligorić, Ryen W. White, Emre Kiciman, Eric Horvitz, Arnaud Chiolero, Robert West
  
  CM Conference on Computer-Supported Cooperative Work and Social Computing CSCW | October 2021
  
  Honorable Mention
  
  Publication
- Invariant Language Modeling
  
  Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Robert West
  
  EMNLP 2022 | October 2021
  
  Publication
- DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions
  
  Amit Sharma, Cheng Zhang, Vasilis Syrgkanis, Emre Kiciman
  
  MSR-TR-2021-15 | July 2021
  
  Publié par ICML 2021 workshop on the Neglected Assumptions in Causal Inference
  
  Publication Projet Projet
- Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction
  
  Shuxi Zeng, Murat Ali Bayir, Joel Pfeiffer, Denis Charles, Emre Kiciman
  
  14th ACM Intl Conf. on Web Search and Data Mining (WSDM) | March 2021
  
  Publication
- Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
  
  Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
  
  ACM Intl. Conf. on Web Search and Data Mining (WSDM) | March 2021
  
  PDF Publication Publication Projet
- Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix
  
  Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman
  
  January 2021
  
  arXiv
  
  Publication
- DoWhy: An End-to-End Library for Causal Inference
  
  Amit Sharma, Emre Kiciman
  
  November 2020
  
  Causal Data Science Meeting (https://causalscience.org/)
  
  Publication Vidéo Github Projet
- Security and Machine Learning in the Real World
  
  Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li
  
  July 2020
  
  Publication
- AvE: Assistance via Empowerment
  
  Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca Dragan
  
  June 2020
  
  Publication
- External Information Sharing on Health Forums: An Exploration
  
  Dana Nguyen, Alexandra Olteanu, Emre Kiciman
  
  Intl. Conf. on Web and Social Media (ICWSM) | June 2020
  
  PDF
- Novel Human-Object Interaction Detection via Adversarial Domain Generalization
  
  Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C.-C. Jay Kuo, Pengchuan Zhang
  
  May 2020
  
  Publication
- Robust Neural Networks for Causal Invariant Features Extraction
  
  Shuxi Zeng, Pengchuan Zhang, Denis Charles, Eren Manavoglu, Emre Kiciman
  
  December 2019
  
  NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
- Causal Transfer Random Forest: Leveraging Observational and Randomization Studies
  
  Shuxi Zeng, Emre Kiciman, Denis Charles, Joel Pfeiffer, Murat Ali Bayir
  
  December 2019
  
  NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
- What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
  
  Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
  
  7th Conference on Human Computation and Crowdsourcing (HCOMP 2019) | September 2019
  
  Publication PDF
- Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
  
  Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
  
  Frontiers in Big Data | July 2019, Vol 2
  
  DOI Publication
- A Social Media Study on the Effects of Psychiatric Medication Use
  
  Koustuv Saha, Benjamin Sugar, John Torous, Bruno Abrahao, Emre Kiciman, Munmun De Choudhury
  
  International AAAI Conference on Web and Social Media (ICWSM 2019) | June 2019
  
  Outstanding Study Design Paper Award
  
  Projet
- People and AI See Things Different Implications of Mismatched Perception on HCI for AI Systems
  
  Saleema Amershi, Ece Kamar, Emre Kiciman
  
  Workshop on Human-Centered Machine Learning Perspectives at CHI 2019 | May 2019
- A Distillation Approach to Data Efﬁcient Individual Treatment Effect Estimation
  
  Maggie Makar, Adith Swaminathan, Emre Kiciman
  
  AAAI-19 | January 2019
  
  PDF
- Integrating Artificial and Human Intelligence in Complex, Sensitive Problem Domains: Experiences from Mental Health
  
  Munmun De Choudhury, Emre Kiciman
  
  AI Magazine | September 2018, Vol 39(3)
  
  Publication Projet
- Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use
  
  Emre Kiciman, Scott Counts, Melissa Gasser
  
  In Proceedings of 12th International Conference on Web and Social Media (ICWSM-18) | June 2018
  
  Publication
- Conjunction of factors triggering waves of seasonal influenza
  
  Ishanu Chattopadhyay, Emre Kiciman, Joshua W. Elliott, Jeffrey L. Shaman, Andrey Rzhetsky
  
  eLife | February 2018, Vol 7: pp. e30756
  
  Publication Publication
- Wildbook: Crowdsourcing, computer vision, and data science for conservation
  
  Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Jason A. Holmberg, Jason Parham, Jonathan Crall, Sreejith Menon, Jon Van Oast, Emre Kiciman, Lucas Joppa
  
  Bloomberg Data for Good Exchange | September 2017
  
  Publication
- Conjunction of Factors Triggering Waves of Seasonal Influenza
  
  Ishanu Chattopadhyay, Emre Kiciman, Joshua Elliott, Jeffrey Shaman, Andrey Rzhetsky
  
  BioRxiv | July 2017
  
  Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence, ® Montreal, QU
  
  Publication Publication Publication
- Animal Population Estimation Using Flickr Images
  
  Sreejith Menon, Tanya Berger-Wolf, Emre Kiciman, Lucas Joppa, Charles V. Stewart, Jason Parham, Jonathan Crall, Jason Holmberg, Jonathan Van Oast
  
  In Proceedings of 2nd International Workshop on the Social Web for Environmental and Ecological Monitoring (SWEEM 2017) | June 2017
  
  Publication
- Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media
  
  Alexandra Olteanu, Onur Varol, Emre Kiciman
  
  Proceedings of The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing | February 2017
  
  ISBN: 978-1-4503-4335-0/17/03
  
  Publication Publication Accès Projet
- Mining Web Logs to Debug Distant Connectivity Problems
  
  Emre Kiciman, Dave Maltz, Moises Goldszmidt, John Platt
  
  ACM SIGCOMM Workshop on Mining Network Data (MineNet-06) | September 2006
  
  ACM SIGCOMM Workshop on Mining Network Data (MineNet-06)
  
  Publication Publication
- Food Choice Mimicry on a Large University Campus
  
  Kristina Gligorić, A. Chiolero, Emre Kiciman, Ryen W. White, Eric Horvitz, R. West
  
  PNAS Nexus | December 2024
  
  DOI Publication Publication Publication Publication
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  Publié par Microsoft
  
  Publication Projet Projet
- Measuring and shaping the nutritional environment via food sales logs: case studies of campus-wide food choice and a call to action
  
  Kristina Gligorić, Robin Zbinden, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Eric Horvitz, Robert West
  
  Frontiers in Nutrition | June 2024, Vol 11
  
  DOI Publication Publication Publication
- Observer Effect in Social Media Use
  
  Koustuv Saha, Pranshu Gupta, Gloria Mark, Emre Kiciman, M. D. Choudhury
  
  Proceedings of the CHI Conference on Human Factors in Computing Systems | May 2024
  
  DOI Publication Publication
- Observer Effect in Social Media Use
  
  Koustuv Saha, Pranshu Gupta, Gloria Mark, Emre Kiciman, Munmun De Choudhury
  
  January 2023
  
  Honorable Mention, CHI 2024
  
  Preprint
- Population-scale dietary interests during the COVID-19 pandemic.
  
  Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Robert West
  
  Nature Communications | February 2022, Vol 13(1073)
  
  Publication DOI Vidéo Projet
- Measuring algorithmically infused societies
  
  Claudia Wagner, Markus Strohmaier, Alexandra Olteanu, Emre Kiciman, Noshir Contractor, Tina Eliassi-Rad
  
  Nature | June 2021, Vol 595: pp. 197-204
  
  Publication Publication
- What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
  
  Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
  
  7th Conference on Human Computation and Crowdsourcing (HCOMP 2019) | September 2019
  
  Publication PDF
- Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
  
  Emre Kiciman, Jorgen Thelin
  
  1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
  
  Publication Publication Publication Projet
- Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use
  
  Emre Kiciman, Scott Counts, Melissa Gasser
  
  In Proceedings of 12th International Conference on Web and Social Media (ICWSM-18) | June 2018
  
  Publication
- The Language of Social Support in Social Media and its Effect on Suicidal Ideation Risk
  
  Munmun De Choudhury, Emre Kiciman
  
  Proceedings of the International Conference on Web and Social Media (ICWSM-17) | May 2017
  
  Best Paper Award
  
  Publication Projet
- Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media
  
  Alexandra Olteanu, Onur Varol, Emre Kiciman
  
  Proceedings of The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing | February 2017
  
  ISBN: 978-1-4503-4335-0/17/03
  
  Publication Publication Accès Projet
- Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
  
  Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
  
  December 2016
  
  Publication Publication Vidéo
- Information Dissemination in Heterogeneous-Intent Networks
  
  Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman, Onur Varol
  
  Web Science | May 2016
  
  Publication
- Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media
  
  Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, Mrinal Kumar
  
  CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems | May 2016
  
  Honorable Mention
  
  Publication Publication Projet
- Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media
  
  Munmun De Choudhury, Sanket S. Sharma, Emre Kiciman
  
  19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | February 2016
  
  19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
  
  Publication
- Online and Social Media Data As an Imperfect Continuous Panel Survey
  
  Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
  
  PlosONE | January 2016, Vol 11
  
  Publication Publication Accès
- Persona-ization: Searching on Behalf of Others
  
  Paul N. Bennett, Alexander Fishkov, Emre Kiciman
  
  Proceedings of the SIGIR 2015 International Workshop on Social Personalisation & Search (SPS'15) | August 2015
  
  International Workshop on Social Personalisation & Search (SPS 2015)
  
  Publication
- Towards Learning a Knowledge Base of Actions from Experiential Microblogs
  
  Emre Kiciman
  
  AAAI Spring Symposium on Knowledge Representation and Reasoning | March 2015
  
  AAAI Spring Symposium on Knowledge Representation and Reasoning
  
  Publication
- Online And Social Media Data As A Flawed Continuous Panel Survey
  
  Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
  
  MSR-TR-2014-159 | May 2014
  
  Publication Projet
- Effect of Persuasion on Information Diffusion in Social Networks
  
  Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman
  
  MSR-TR-2014-69 | May 2014
  
  Publication
- Smart Societies: From Citizens as Sensors to Collective Action
  
  Andrés Monroy-Hernández, Shelly D. Farnham, Ph.D., Emre Kiciman, Scott Counts, Munmun De Choudhury
  
  interactions | July 2013
  
  Publication
- The New War Correspondents: The Rise of Civic Media Curation in Urban Warfare
  
  Andrés Monroy-Hernández, danah boyd, Emre Kiciman, Munmun De Choudhury, Munmun De Choudhury, Scott Counts
  
  The 16th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW) | February 2013
  
  Publication Projet
- OMG, I have to Tweet that! A Study of Factors that Influence Tweet Rates
  
  Emre Kiciman
  
  The 6th Intl. Conference on Weblogs and Social Media (ICWSM) | June 2012
  
  Publication
- «Narcotweets»: Social Media in Wartime
  
  Andrés Monroy-Hernández, Emre Kiciman, danah boyd, Scott Counts
  
  The 6th Intl. Conference on Weblogs and Social Media (ICWSM) | June 2012
  
  Publication
- Language Differences and Metadata Features on Twitter
  
  Emre Kiciman
  
  Web N-gram Workshop at SIGIR 2010 | July 2010
  
  Publication
- Artificial Intelligence–Based Copilots to Generate Causal Evidence
  
  Maya Petersen, Ahmed Alaa, Emre Kiciman, Chris Holmes, Mark van der Laan
  
  NEJM AI | November 2024
  
  DOI
- Large Language Models as Co-Pilots for Causal Inference in Medical Studies
  
  Ahmed Alaa, Rachael V. Phillips, Emre Kiciman, Laura B. Balzer, M. V. D. Laan, Maya Petersen
  
  ArXiv | July 2024, Vol abs/2407.19118
  
  DOI Publication Publication
- TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
  
  Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon
  
  ArXiv | November 2023, Vol abs/2311.01301
  
  DOI Publication Publication
- Sensitivity analysis for causality in observational studies for regulatory science
  
  Iván Díaz, Hana Lee, Emre Kiciman, E. Schenck, Mouna Akacha, Dean Follman, Debashis Ghosh
  
  Journal of Clinical and Translational Science | October 2023, Vol 7
  
  DOI Publication Publication Publication Publication
- Geographically Resolved Rhythms in Twitter Use Reveal Social Pressures on Daily Activity Patterns
  
  Eugene Leypunskiy, Emre Kiciman, Mili Shah, Olivia J. Walch, Andrey Rzhetsky, Aaron R. Dinner, Michael J. Rust
  
  Current Biology | November 2018, Vol 28: pp. 3763-3775
  
  DOI Publication
- Conjunction of factors triggering waves of seasonal influenza
  
  Ishanu Chattopadhyay, Emre Kiciman, Joshua W. Elliott, Jeffrey L. Shaman, Andrey Rzhetsky
  
  eLife | February 2018, Vol 7: pp. e30756
  
  Publication Publication
- Conjunction of Factors Triggering Waves of Seasonal Influenza
  
  Ishanu Chattopadhyay, Emre Kiciman, Joshua Elliott, Jeffrey Shaman, Andrey Rzhetsky
  
  BioRxiv | July 2017
  
  Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence, ® Montreal, QU
  
  Publication Publication Publication
- Defending Against Indirect Prompt Injection Attacks With Spotlighting
  
  Keegan Hines, Gary Lopez, Matthew Hall, Federico Zarfati, Yonatan Zunger, Emre Kiciman
  
  ArXiv | March 2024, Vol abs/2403.14720
  
  DOI Publication Publication
- I Know Your Triggers: Defending against Textual Backdoor Attacks with Benign Backdoor Augmentation
  
  Yue Gao, Jack W. Stokes, Manoj Prasad, Andrew T. Marshall, Kassem Fawaz, Emre Kiciman
  
  Military Communications Conference | November 2022
  
  Publication Projet
- Discovering Correctness Constraints for Self-Management of System Configuration
  
  Emre Kiciman, Yi-Min Wang
  
  MSR-TR-2004-22 | March 2004
  
  Publication Publication
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  Publié par Microsoft
  
  Publication Projet Projet
- Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
  
  Emre Kiciman, Jorgen Thelin
  
  1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
  
  Publication Publication Publication Projet
- Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
  
  Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
  
  December 2016
  
  Publication Publication Vidéo
- Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media
  
  Munmun De Choudhury, Sanket S. Sharma, Emre Kiciman
  
  19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | February 2016
  
  19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
  
  Publication
- Analyzing Persistent State Interactions to Improve State Management
  
  Emre Kiciman, Brad Daniels, Shan Lu, Roussi Roussev, Yi-Min Wang, Chad Verbowski, Juhan Lee
  
  ACM SIGMETRICS 2006 | June 2006
  
  ACM SIGMETRICS 2006
  
  Short Paper.
  
  Publication
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  Publié par Microsoft
  
  Publication Projet Projet
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  Publié par Microsoft
  
  Publication Projet Projet
- Observer Effect in Social Media Use
  
  Koustuv Saha, Pranshu Gupta, Gloria Mark, Emre Kiciman, Munmun De Choudhury
  
  January 2023
  
  Honorable Mention, CHI 2024
  
  Preprint
- Investigations of Performance and Bias in Human-AI Teamwork in Hiring
  
  Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
  
  AAAI 2022 | February 2022
  
  Publication Accès
- Measuring algorithmically infused societies
  
  Claudia Wagner, Markus Strohmaier, Alexandra Olteanu, Emre Kiciman, Noshir Contractor, Tina Eliassi-Rad
  
  Nature | June 2021, Vol 595: pp. 197-204
  
  Publication Publication
- What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
  
  Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
  
  7th Conference on Human Computation and Crowdsourcing (HCOMP 2019) | September 2019
  
  Publication PDF
- Smart Societies: From Citizens as Sensors to Collective Action
  
  Andrés Monroy-Hernández, Shelly D. Farnham, Ph.D., Emre Kiciman, Scott Counts, Munmun De Choudhury
  
  interactions | July 2013
  
  Publication
- «Narcotweets»: Social Media in Wartime
  
  Andrés Monroy-Hernández, Emre Kiciman, danah boyd, Scott Counts
  
  The 6th Intl. Conference on Weblogs and Social Media (ICWSM) | June 2012
  
  Publication
- Live Monitoring: Using Adaptive Instrumentation and Analysis to Debug and Maintain Web Applications
  
  Emre Kiciman, Helen Wang
  
  The 11th Workshop on Hot Topics in Operating Systems (HotOS XI) | May 2007
  
  The 11th Workshop on Hot Topics in Operating Systems (HotOS XI)
  
  Publication Projet
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  Publié par Microsoft
  
  Publication Projet Projet
- Simple and Knowledge-intensive Generative Model for Named Entity Recognition
  
  Chun-Kai Wang, Bo-June (Paul) Hsu, Ming-Wei Chang, Emre Kiciman
  
  MSR-TR-2013-3 | January 2013
  
  Publication
- AjaxScope: A Platform for Remotely Monitoring the Client-Side Behavior of Web 2.0 Applications
  
  Emre Kiciman, Benjamin Livshits, Ben Livshits
  
  ACM Transactions on the Web (TWEB) | September 2010
  
  This journal article is an extension of our SOSP paper on AjaxScope, and discusses significant follow-on work, including Doloto and MEDic. MEDic is a control and visualizatio ntool for Web application instrumentation to enable on-line debugging; and Doloto, a code splitter that optimizes Web application download time based on analysis of its runtime behavior.
  
  Publication Projet
- FLUXO: A Simple Service Compiler
  
  Emre Kiciman, Ben Livshits, Madan Musuvathi
  
  12th Workshop on Hot Topics in Operating Systems | May 2009
  
  12th Workshop on Hot Topics in Operating Systems
  
  Publication
- (Short Paper) Improving the Responsiveness of Internet Services with Automatic Cache Placement
  
  Alex Rasmussen, Emre Kiciman, Ben Livshits, Madan Musuvathi
  
  EuroSys 2009 | April 2009
  
  Publication
- Doloto: Code Splitting for Network-Bound Web 2.0 Applications
  
  Ben Livshits, Emre Kiciman
  
  Foundations of Software Engineering (FSE) | November 2008
  
  Foundations of Software Engineering (FSE)
  
  Publication Projet
- Doloto: Code Splitting for Network-Bound Web 2.0 Applications
  
  Emre Kiciman, Ben Livshits
  
  MSR-TR-2007-159 | December 2007
  
  Publication Projet
- AjaxScope: A Platform for Remotely Monitoring the Client-side Behavior of Web 2.0 Applications
  
  Emre Kiciman, Ben Livshits
  
  The 21st ACM Symposium on Operating Systems Principles (SOSP'07) | October 2007
  
  Publication Publication Projet
- Invariant Language Modeling
  
  Maxim Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West
  
  2022 Empirical Methods in Natural Language Processing | December 2022
  
  Publication
- Invariant Language Modeling
  
  Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Robert West
  
  EMNLP 2022 | October 2021
  
  Publication
- Discussion Graphs: Putting Social Media Analysis in Context
  
  Emre Kiciman, Scott Counts, Michael Gamon, Munmun De Choudhury, Bo Thiesson
  
  Intl. Conf. on Weblogs and Social Media (ICWSM-14) | June 2014
  
  Publication Projet Projet
- Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems
  
  Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma
  
  NeurIPS 2022 Workshop on Distribution Shifts (DistShift) | November 2022
  
  Publication
- Causal Inference in the Presence of Interference in Sponsored Search Advertising
  
  Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman
  
  Frontiers in Big Data | June 2022, Vol 5
  
  Publication
- Population-scale dietary interests during the COVID-19 pandemic.
  
  Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Robert West
  
  Nature Communications | February 2022, Vol 13(1073)
  
  Publication DOI Vidéo Projet
- Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
  
  Emre Kiciman, Jorgen Thelin
  
  1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
  
  Publication Publication Publication Projet
- Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media
  
  Alexandra Olteanu, Onur Varol, Emre Kiciman
  
  Proceedings of The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing | February 2017
  
  ISBN: 978-1-4503-4335-0/17/03
  
  Publication Publication Accès Projet
- Towards an Open-Domain Framework for Distilling the Outcomes of Personal Experiences from Social Media Timelines
  
  Alexandra Olteanu, Onur Varol, Emre Kiciman
  
  International Conference on Web and Social Media (ICWSM) | May 2016
  
  Publication
- Persona-ization: Searching on Behalf of Others
  
  Paul N. Bennett, Alexander Fishkov, Emre Kiciman
  
  Proceedings of the SIGIR 2015 International Workshop on Social Personalisation & Search (SPS'15) | August 2015
  
  International Workshop on Social Personalisation & Search (SPS 2015)
  
  Publication
- Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships from Social Media
  
  Emre Kiciman, Matthew Richardson
  
  KDD '15 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2015
  
  Knowledge Discovery and Data Mining (KDD)
  
  Publication Publication
- Towards Learning a Knowledge Base of Actions from Experiential Microblogs
  
  Emre Kiciman
  
  AAAI Spring Symposium on Knowledge Representation and Reasoning | March 2015
  
  AAAI Spring Symposium on Knowledge Representation and Reasoning
  
  Publication
- Entity Linking at the Tail: Sparse Signals, Unknown Entities and Phrase Models
  
  Yuzhe Jin, Emre Kiciman, Kuansan Wang, Ricky Loynd
  
  WSDM '14 Proceedings of the 7th ACM international conference on Web search and data mining | February 2014
  
  Publication Publication
- Click Patterns: An Empirical Representation of Complex Query Intents
  
  Huizhong Duan, Emre Kiciman, Chengxiang Zhai
  
  21st ACM International Conference on Information and Knowledge Management (CIKM 2012) | October 2012
  
  21st ACM International Conference on Information and Knowledge Management (CIKM 2012)
  
  Publication
- Language Differences and Metadata Features on Twitter
  
  Emre Kiciman
  
  Web N-gram Workshop at SIGIR 2010 | July 2010
  
  Publication
- Fast Variational Inference for Large-scale Internet Diagnosis
  
  John Platt, Emre Kiciman, Dave Maltz
  
  The Conference on Neural Information Processing Systems (NIPS) | December 2007
  
  Publication
- Causal Modeling of Soil Processes for Improved Generalization
  
  Somya Sharma, Swati Sharma, Andy Neal, Sara Malvar, Eduardo Rodrigues, John Crawford, Emre Kiciman, Ranveer Chandra
  
  NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | November 2022
  
  Publication
- Wildbook: Crowdsourcing, computer vision, and data science for conservation
  
  Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Jason A. Holmberg, Jason Parham, Jonathan Crall, Sreejith Menon, Jon Van Oast, Emre Kiciman, Lucas Joppa
  
  Bloomberg Data for Good Exchange | September 2017
  
  Publication
- Animal Population Estimation Using Flickr Images
  
  Sreejith Menon, Tanya Berger-Wolf, Emre Kiciman, Lucas Joppa, Charles V. Stewart, Jason Parham, Jonathan Crall, Jason Holmberg, Jonathan Van Oast
  
  In Proceedings of 2nd International Workshop on the Social Web for Environmental and Ecological Monitoring (SWEEM 2017) | June 2017
  
  Publication
- System Support for Interactive Workspaces
  
  Brad Johanson, Shankar Ponnekanti, Emre Kiciman, Caesar Sengupta, Armando Fox
  
  PTN-2001-1 | July 2001
  
  TLDI '03 Proceedings of the 2003 ACM SIGPLAN international workshop on Types in Languages Design and Implementation
  
  Publication Publication
- Towards Zero-Code Service Composition (Position paper)
  
  Emre Kiciman, Laurence Melloul
  
  The Eighth Workshop in Hot Topics in Operating Systems | May 2001
  
  Publication
- ICEBERG: An Internet-core Network Architecture for Integrated Communications
  
  Helen Wang, Bhaskaran Raman, Chen-nee Chuah, Rahul Biswas, Ramakrishna Gummadi, Barbara Hohlt, Xia Hong, Emre Kiciman, Zhuoqing Mao, Jimmy S. Shih, Lakshminarayanan Subramanian, Ben Y. Zhao, Anthony D. Joseph, Randy H. Katz
  
  IEEE Personal Communications | April 2000
  
  Publication
- ICEBERG: An Internet-core Network Architecture for Integrated Communications
  
  Helen Wang, Bhaskaran Raman, Chen-nee Chuah, Rahul Biswas, Ramakrishna Gummadi, Barbara Hohlt, Xia Hong, Emre Kiciman, Zhuoqing Mao, Jimmy S. Shih, Lakshminarayanan Subramanian, Ben Y. Zhao, Anthony D. Joseph, Randy Katz
  
  IEEE Personal Communications: Special Issue on IP-based Mobile Telecommunications Networks | January 2000
  
  Publication
- Using Dynamic Mediation to Integrate COTS Entities in a Ubiquitous Computing Environment
  
  Emre Kiciman, Armando Fox
  
  Second International Symposium on Handheld and Ubiquitous Computing | January 2000
  
  Publication
- Security and Machine Learning in the Real World
  
  Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li
  
  July 2020
  
  Publication
- Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
  
  Emre Kiciman, Jorgen Thelin
  
  1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
  
  Publication Publication Publication Projet
- AjaxScope: A Platform for Remotely Monitoring the Client-Side Behavior of Web 2.0 Applications
  
  Emre Kiciman, Benjamin Livshits, Ben Livshits
  
  ACM Transactions on the Web (TWEB) | September 2010
  
  This journal article is an extension of our SOSP paper on AjaxScope, and discusses significant follow-on work, including Doloto and MEDic. MEDic is a control and visualizatio ntool for Web application instrumentation to enable on-line debugging; and Doloto, a code splitter that optimizes Web application download time based on analysis of its runtime behavior.
  
  Publication Projet
- Fluxo: A System for Internet Service Programming by Non-expert Developers
  
  Emre Kiciman, Ben Livshits, Madan Musuvathi, Kevin C. Webb
  
  ACM Symposium on Cloud Computing | January 2010
  
  Publication
- (Short Paper) Improving the Responsiveness of Internet Services with Automatic Cache Placement
  
  Alex Rasmussen, Emre Kiciman, Ben Livshits, Madan Musuvathi
  
  EuroSys 2009 | April 2009
  
  Publication
- Doloto: Code Splitting for Network-Bound Web 2.0 Applications
  
  Ben Livshits, Emre Kiciman
  
  Foundations of Software Engineering (FSE) | November 2008
  
  Foundations of Software Engineering (FSE)
  
  Publication Projet
- Doloto: Code Splitting for Network-Bound Web 2.0 Applications
  
  Emre Kiciman, Ben Livshits
  
  MSR-TR-2007-159 | December 2007
  
  Publication Projet
- Fast Variational Inference for Large-scale Internet Diagnosis
  
  John Platt, Emre Kiciman, Dave Maltz
  
  The Conference on Neural Information Processing Systems (NIPS) | December 2007
  
  Publication
- AjaxScope: A Platform for Remotely Monitoring the Client-side Behavior of Web 2.0 Applications
  
  Emre Kiciman, Ben Livshits
  
  The 21st ACM Symposium on Operating Systems Principles (SOSP'07) | October 2007
  
  Publication Publication Projet
- Mining Web Logs to Debug Distant Connectivity Problems
  
  Emre Kiciman, Dave Maltz, Moises Goldszmidt, John Platt
  
  ACM SIGCOMM Workshop on Mining Network Data (MineNet-06) | September 2006
  
  Publication
- Autonomic network management: Some pragmatic considerations
  
  Richard Mortier, Emre Kiciman
  
  ACM SIGCOMM Workshop on Internet Network Management (INM) | September 2006
  
  Publication
- Mining Web Logs to Debug Distant Connectivity Problems
  
  Emre Kiciman, Dave Maltz, Moises Goldszmidt, John Platt
  
  ACM SIGCOMM Workshop on Mining Network Data (MineNet-06) | September 2006
  
  ACM SIGCOMM Workshop on Mining Network Data (MineNet-06)
  
  Publication Publication
- Analyzing Persistent State Interactions to Improve State Management
  
  Chad Verbowski, Emre Kiciman, Brad Daniels, Shan Lu, Roussi Roussev, Yi-Min Wang, Juhan Lee
  
  MSR-TR-2006-39 | April 2006
  
  Publication
- Detecting Application-Level Failures in Component-based Internet Services
  
  Emre Kiciman, Armando Fox
  
  IEEE Transactions on Neural Networks: Special Issue on Adaptive Learning Systems in Communication Networks | September 2005
  
  Publication
- Using Statistical Monitoring to Detect Failures in Internet Services
  
  Emre Kiciman
  
  September 2005
  
  September 2005
  
  Publication
- Root Cause Localization in Large Scale Systems
  
  Emre Kiciman, Lakshminarayanan Subramanian
  
  Proceedings of the First Workshop on Hot Topics in System Dependability (HotDep) | June 2005
  
  Publication
- Combining Statistical Monitoring and Predictable Recovery for Self-Management
  
  Armando Fox, Emre Kiciman, David Patterson, Michael Jordan, Randy Katz
  
  2004 Workshop on Self-Managed Systems (WOSS'04) in conjunction with ACM SIGSOFT FSE-12 | October 2004
  
  2004 Workshop on Self-Managed Systems (WOSS'04) in conjunction with ACM SIGSOFT FSE-12
  
  Earlier version presented at 2nd Bertinoro Workshop on Future Directions in Distributed Computing (FuDiCo II): Survivability: Obstacles and Solutions, June 2004
  
  Publication
- Session State: Beyond Soft State
  
  Benjamin C. Ling, Emre Kiciman, Armando Fox
  
  the 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04) | March 2004
  
  Publication
- Path-Based Failure and Evolution Management
  
  Mike Y. Chen, Anthony Accardi, Emre Kiciman, Jim Lloyd, Dave Patterson, Armando Fox, Eric Brewer
  
  The 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04) | March 2004
  
  The 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04)
  
  Publication
- JAGR: An Autonomous Self-Recovering Application Server
  
  George Candea, Emre Kiciman, Steve Zhang, Pedram Keyani, Armando Fox
  
  The 5th International Workshop on Active Middleware Services | June 2003
  
  Publication
- Using Runtime Paths for Macro Analysis
  
  Mike Chen, Emre Kiciman, Anthony Accardi, Armando Fox, Eric Brewer
  
  9th Workshop on Hot Topics in Operating Systems | May 2003
  
  Publication
- The Roma Personal Metadata Service
  
  Edward Swierk, Emre Kiciman, Nathan C. Williams, Takashi Fukushima, Hideki Yoshida, Vince Laviano, Mary Baker
  
  ACM Baltzer Mobile Networks and Applications | October 2002
  
  Publication
- Recovery Oriented Computing: Motivation, Definition, Principles, and Examples
  
  David Patterson, Aaron Brown, Pete Broadwell, George Candea, Mike Chen, James Cutler, Patricia Enriquez, Armando Fox, Emre Kiciman, Matthew Merzbacher, David Oppenheimer, Naveen Sastry, William Tetzlaff, Jonathan Traupman, Noah Treuhaft
  
  | March 2002
  
  Ph.D. thesis (supervisors: Li Deng, Paul Fieguth, University of Waterloo, Ontario, Canada)
  
  Publication
- Designing for Maintainability, Failure Resilience, and Evolvability in Ubiquitous Computing Software
  
  Shankar Ponnekanti, Brad Johanson, Emre Kiciman, Armando Fox
  
  | January 2002
  
  PG 2006
  
  Publication
- Using Internet Services to Manage Massive Evolving Information for Ubiquitous Computing Systems
  
  Emre Kiciman
  
  Ubicomp 2002 Doctoral Consortium. In the Adjunct Proceedings of the Fourth International Conference on Ubiquitous Computing (Ubicomp) 2002 | January 2002
  
  Ubicomp 2002 Doctoral Consortium. In the Adjunct Proceedings of the Fourth International Conference on Ubiquitous Computing (Ubicomp) 2002
  
  Publication
- Pinpoint: Problem Determination in Large, Dynamic, Internet Services
  
  Mike Chen, Emre Kiciman, Eugene Fratkin, Armando Fox, Eric Brewer
  
  The International Conference on Dependable Systems and Networks (IPDS Track) | January 2002
  
  Publication
- To Link or Not to Link? A Study on End-to-End Tweet Entity Linking
  
  Stephen Guo, Ming-Wei Chang, Emre Kiciman
  
  NAACL-HLT 2013 | June 2013
  
  Publication
- Keeping Information Safe from Social Networking Apps
  
  Bimal Viswanath, Emre Kiciman, Stefan Saroiu
  
  Proceedings of the Workshop on Online Social Networks (WOSN'12) | August 2012
  
  Publication
- Tweeting the Drug War: Empowerment, Intimidation, and Regulation in Social Media
  
  Emre Kiciman, danah boyd, Scott Counts, Andrés Monroy-Hernández
  
  Human Computer Interaction International Conference | June 2012
  
  HCIC
  
  Publication
- The Roma Personal Metadata Service
  
  Edward Swierk, Emre Kiciman, Vince Laviano, Mary Baker
  
  The 3rd IEEE Workshop on Mobile Computing Systems and Applications | May 2007
  
  Publication
- Flight Data Recorder: Always-on Tracing and Scalable Analysis of Persistent State Interactions to Improve Systems and Security Management
  
  Emre Kiciman, Brad Daniels, Arunvijay Kumar, Yi-Min Wang, Roussi Roussev, Shan Lu, Juhan Lee, Chad Verbowski
  
  The 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI '06) | November 2006
  
  Publication
- Flight Data Recorder: Always-on Tracing and Scalable Analysis of Persistent State Interactions to Improve Systems and Security Management
  
  Emre Kiciman, Brad Daniels, Arunvijay Kumar, Yi-Min Wang, Roussi Roussev, Shan Lu, Juhan Lee, Chad Verbowski
  
  The 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI '06) | November 2006
  
  Publication
- An Online Evolutionary Approach to Developing Internet Services
  
  Mike Y. Chen, Emre Kiciman, Eric Brewer
  
  SIGOPS European Workshop | January 2002
  
  Extended Abstract
  
  Publication

- System Support for Interactive Workspaces
  
  Brad Johanson, Shankar Ponnekanti, Emre Kiciman, Caesar Sengupta, Armando Fox
  
  PTN-2001-1 | July 2001
  
  TLDI '03 Proceedings of the 2003 ACM SIGPLAN international workshop on Types in Languages Design and Implementation
  
  Publication Publication
- Enterprise AI Must Enforce Participant-Aware Access Control
  
  Shashank Shreedhar Bhatt, Tanmay Rajore, Khushboo Aggarwal, Ganesh Ananthanarayanan, Ranveer Chandra, Nishanth Chandran, Suyash Choudhury, Divya Gupta, Emre Kiciman, Shrey Pandey, Srinath Setty, Rahul Sharma, Teijia Zhao
  
  arXiv:2509.14608 | September 2025
  
  Publié par arXiv
  
  Publication
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  Publié par Microsoft
  
  Publication Projet Projet
- Deep End-to-end Causal Inference
  
  Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman (emrek), Amit Sharma, Martin Kukla, Nick Pawlowski, Miltos Allamanis, Cheng Zhang
  
  MSR-TR-2022-1 | February 2022
  
  Publié par Microsoft
  
  Publication Projet Projet
- DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions
  
  Amit Sharma, Cheng Zhang, Vasilis Syrgkanis, Emre Kiciman
  
  MSR-TR-2021-15 | July 2021
  
  Publié par ICML 2021 workshop on the Neglected Assumptions in Causal Inference
  
  Publication Projet Projet
- Online And Social Media Data As A Flawed Continuous Panel Survey
  
  Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
  
  MSR-TR-2014-159 | May 2014
  
  Publication Projet
- Effect of Persuasion on Information Diffusion in Social Networks
  
  Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman
  
  MSR-TR-2014-69 | May 2014
  
  Publication
- Simple and Knowledge-intensive Generative Model for Named Entity Recognition
  
  Chun-Kai Wang, Bo-June (Paul) Hsu, Ming-Wei Chang, Emre Kiciman
  
  MSR-TR-2013-3 | January 2013
  
  Publication
- Doloto: Code Splitting for Network-Bound Web 2.0 Applications
  
  Emre Kiciman, Ben Livshits
  
  MSR-TR-2007-159 | December 2007
  
  Publication Projet
- Analyzing Persistent State Interactions to Improve State Management
  
  Chad Verbowski, Emre Kiciman, Brad Daniels, Shan Lu, Roussi Roussev, Yi-Min Wang, Juhan Lee
  
  MSR-TR-2006-39 | April 2006
  
  Publication
- Discovering Correctness Constraints for Self-Management of System Configuration
  
  Emre Kiciman, Yi-Min Wang
  
  MSR-TR-2004-22 | March 2004
  
  Publication Publication
- Recovery Oriented Computing: Motivation, Definition, Principles, and Examples
  
  David Patterson, Aaron Brown, Pete Broadwell, George Candea, Mike Chen, James Cutler, Patricia Enriquez, Armando Fox, Emre Kiciman, Matthew Merzbacher, David Oppenheimer, Naveen Sastry, William Tetzlaff, Jonathan Traupman, Noah Treuhaft
  
  | March 2002
  
  Ph.D. thesis (supervisors: Li Deng, Paul Fieguth, University of Waterloo, Ontario, Canada)
  
  Publication
- Designing for Maintainability, Failure Resilience, and Evolvability in Ubiquitous Computing Software
  
  Shankar Ponnekanti, Brad Johanson, Emre Kiciman, Armando Fox
  
  | January 2002
  
  PG 2006
  
  Publication
- Towards Zero-Code Service Composition (Position paper)
  
  Emre Kiciman, Laurence Melloul
  
  The Eighth Workshop in Hot Topics in Operating Systems | May 2001
  
  Publication
- Using Dynamic Mediation to Integrate COTS Entities in a Ubiquitous Computing Environment
  
  Emre Kiciman, Armando Fox
  
  Second International Symposium on Handheld and Ubiquitous Computing | January 2000
  
  Publication
- Direct Reasoning Optimization: LLMs Can Reward And Refine Their Own Reasoning for Open-Ended Tasks
  
  Yifei Xu, Tusher Chakraborty, Srinagesh Sharma, Leonardo Nunes, Emre Kiciman, Songwu Lu, Ranveer Chandra
  
  Arxiv | June 2025
  
  Preprint
- Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
  
  Katie Matton, Robert Osazuwa Ness, John Guttag, Emre Kiciman
  
  2025 International Conference on Learning Representations | April 2025
  
  Publication
- RLTHF: Targeted Human Feedback for LLM Alignment
  
  Yifei Xu, Tusher Chakraborty, Emre Kiciman, Bibek Aryal, Eduardo Rodrigues, Srinagesh Sharma, Roberto Estevao, Maria Angels de Luis Balaguer, Jessica Wolk, Rafael Padilha, Leonardo Nunes, Shobana Balakrishna, Songwu Lu, Ranveer Chandra
  
  ICML'25 | February 2025
  
  PDF
- A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia
  
  Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West
  
  2024 Meeting of the Association for Computational Linguistics | August 2024
  
  DOI Publication Publication Publication DOI
- Towards Modular Machine Learning Pipelines
  
  Aditya Modi, Jivat Neet Kaur, Maggie Makar, Pavan Mallapragada, Amit Sharma, Emre Kiciman, Adith Swaminathan
  
  2023 International Conference on Machine Learning | July 2023
  
  Publication
- Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
  
  Jivat Neet Kaur, Emre Kiciman, Amit Sharma
  
  International Conference on Learning Representations (ICLR) | January 2023
  
  Notable Top-25% of accepted papers
  
  Publication Projet
- Invariant Language Modeling
  
  Maxim Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West
  
  2022 Empirical Methods in Natural Language Processing | December 2022
  
  Publication
- A Causal AI Suite for Decision-Making
  
  Emre Kiciman, Eleanor Dillon, Darren Edge, Adam Foster, Agrin Hilmkil, Joel Jennings, Chao Ma, Robert Osazuwa Ness, Nick Pawlowski, Amit Sharma, Cheng Zhang
  
  NeurIPS 2022 Workshop on Causality for Real-world Impact | December 2022
  
  Publication Projet Projet Projet
- I Know Your Triggers: Defending against Textual Backdoor Attacks with Benign Backdoor Augmentation
  
  Yue Gao, Jack W. Stokes, Manoj Prasad, Andrew T. Marshall, Kassem Fawaz, Emre Kiciman
  
  Military Communications Conference | November 2022
  
  Publication Projet
- Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems
  
  Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma
  
  NeurIPS 2022 Workshop on Distribution Shifts (DistShift) | November 2022
  
  Publication
- Causal Modeling of Soil Processes for Improved Generalization
  
  Somya Sharma, Swati Sharma, Andy Neal, Sara Malvar, Eduardo Rodrigues, John Crawford, Emre Kiciman, Ranveer Chandra
  
  NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | November 2022
  
  Publication
- Deep End-to-end Causal Inference
  
  Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Agrin Hilmkil, Joel Jennings, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
  
  NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022) | November 2022
  
  Publication Projet Projet
- Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
  
  Jivat Neet Kaur, Emre Kiciman, Amit Sharma
  
  Workshop on Spurious Correlations, Invariance, and Stability, ICML 2022 | July 2022
  
  Spotlight
  
  Publication Projet
- Investigations of Performance and Bias in Human-AI Teamwork in Hiring
  
  Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
  
  AAAI 2022 | February 2022
  
  Publication Accès
- Formation of Social Ties Predicts Food Choice: A Campus-wide Longitudinal Study
  
  Kristina Gligorić, Ryen W. White, Emre Kiciman, Eric Horvitz, Arnaud Chiolero, Robert West
  
  CM Conference on Computer-Supported Cooperative Work and Social Computing CSCW | October 2021
  
  Honorable Mention
  
  Publication
- Invariant Language Modeling
  
  Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Robert West
  
  EMNLP 2022 | October 2021
  
  Publication
- Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction
  
  Shuxi Zeng, Murat Ali Bayir, Joel Pfeiffer, Denis Charles, Emre Kiciman
  
  14th ACM Intl Conf. on Web Search and Data Mining (WSDM) | March 2021
  
  Publication
- Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
  
  Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
  
  ACM Intl. Conf. on Web Search and Data Mining (WSDM) | March 2021
  
  PDF Publication Publication Projet
- External Information Sharing on Health Forums: An Exploration
  
  Dana Nguyen, Alexandra Olteanu, Emre Kiciman
  
  Intl. Conf. on Web and Social Media (ICWSM) | June 2020
  
  PDF
- What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
  
  Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
  
  7th Conference on Human Computation and Crowdsourcing (HCOMP 2019) | September 2019
  
  Publication PDF
- A Social Media Study on the Effects of Psychiatric Medication Use
  
  Koustuv Saha, Benjamin Sugar, John Torous, Bruno Abrahao, Emre Kiciman, Munmun De Choudhury
  
  International AAAI Conference on Web and Social Media (ICWSM 2019) | June 2019
  
  Outstanding Study Design Paper Award
  
  Projet
- People and AI See Things Different Implications of Mismatched Perception on HCI for AI Systems
  
  Saleema Amershi, Ece Kamar, Emre Kiciman
  
  Workshop on Human-Centered Machine Learning Perspectives at CHI 2019 | May 2019
- A Distillation Approach to Data Efﬁcient Individual Treatment Effect Estimation
  
  Maggie Makar, Adith Swaminathan, Emre Kiciman
  
  AAAI-19 | January 2019
  
  PDF
- Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
  
  Emre Kiciman, Jorgen Thelin
  
  1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
  
  Publication Publication Publication Projet
- Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use
  
  Emre Kiciman, Scott Counts, Melissa Gasser
  
  In Proceedings of 12th International Conference on Web and Social Media (ICWSM-18) | June 2018
  
  Publication
- Animal Population Estimation Using Flickr Images
  
  Sreejith Menon, Tanya Berger-Wolf, Emre Kiciman, Lucas Joppa, Charles V. Stewart, Jason Parham, Jonathan Crall, Jason Holmberg, Jonathan Van Oast
  
  In Proceedings of 2nd International Workshop on the Social Web for Environmental and Ecological Monitoring (SWEEM 2017) | June 2017
  
  Publication
- The Language of Social Support in Social Media and its Effect on Suicidal Ideation Risk
  
  Munmun De Choudhury, Emre Kiciman
  
  Proceedings of the International Conference on Web and Social Media (ICWSM-17) | May 2017
  
  Best Paper Award
  
  Publication Projet
- Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media
  
  Alexandra Olteanu, Onur Varol, Emre Kiciman
  
  Proceedings of The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing | February 2017
  
  ISBN: 978-1-4503-4335-0/17/03
  
  Publication Publication Accès Projet
- Information Dissemination in Heterogeneous-Intent Networks
  
  Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman, Onur Varol
  
  Web Science | May 2016
  
  Publication
- Towards an Open-Domain Framework for Distilling the Outcomes of Personal Experiences from Social Media Timelines
  
  Alexandra Olteanu, Onur Varol, Emre Kiciman
  
  International Conference on Web and Social Media (ICWSM) | May 2016
  
  Publication
- Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media
  
  Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, Mrinal Kumar
  
  CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems | May 2016
  
  Honorable Mention
  
  Publication Publication Projet
- Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media
  
  Munmun De Choudhury, Sanket S. Sharma, Emre Kiciman
  
  19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | February 2016
  
  19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
  
  Publication
- Persona-ization: Searching on Behalf of Others
  
  Paul N. Bennett, Alexander Fishkov, Emre Kiciman
  
  Proceedings of the SIGIR 2015 International Workshop on Social Personalisation & Search (SPS'15) | August 2015
  
  International Workshop on Social Personalisation & Search (SPS 2015)
  
  Publication
- Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships from Social Media
  
  Emre Kiciman, Matthew Richardson
  
  KDD '15 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2015
  
  Knowledge Discovery and Data Mining (KDD)
  
  Publication Publication
- Towards Learning a Knowledge Base of Actions from Experiential Microblogs
  
  Emre Kiciman
  
  AAAI Spring Symposium on Knowledge Representation and Reasoning | March 2015
  
  AAAI Spring Symposium on Knowledge Representation and Reasoning
  
  Publication
- Discussion Graphs: Putting Social Media Analysis in Context
  
  Emre Kiciman, Scott Counts, Michael Gamon, Munmun De Choudhury, Bo Thiesson
  
  Intl. Conf. on Weblogs and Social Media (ICWSM-14) | June 2014
  
  Publication Projet Projet
- Entity Linking at the Tail: Sparse Signals, Unknown Entities and Phrase Models
  
  Yuzhe Jin, Emre Kiciman, Kuansan Wang, Ricky Loynd
  
  WSDM '14 Proceedings of the 7th ACM international conference on Web search and data mining | February 2014
  
  Publication Publication
- To Link or Not to Link? A Study on End-to-End Tweet Entity Linking
  
  Stephen Guo, Ming-Wei Chang, Emre Kiciman
  
  NAACL-HLT 2013 | June 2013
  
  Publication
- The New War Correspondents: The Rise of Civic Media Curation in Urban Warfare
  
  Andrés Monroy-Hernández, danah boyd, Emre Kiciman, Munmun De Choudhury, Munmun De Choudhury, Scott Counts
  
  The 16th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW) | February 2013
  
  Publication Projet
- Click Patterns: An Empirical Representation of Complex Query Intents
  
  Huizhong Duan, Emre Kiciman, Chengxiang Zhai
  
  21st ACM International Conference on Information and Knowledge Management (CIKM 2012) | October 2012
  
  21st ACM International Conference on Information and Knowledge Management (CIKM 2012)
  
  Publication
- Keeping Information Safe from Social Networking Apps
  
  Bimal Viswanath, Emre Kiciman, Stefan Saroiu
  
  Proceedings of the Workshop on Online Social Networks (WOSN'12) | August 2012
  
  Publication
- Tweeting the Drug War: Empowerment, Intimidation, and Regulation in Social Media
  
  Emre Kiciman, danah boyd, Scott Counts, Andrés Monroy-Hernández
  
  Human Computer Interaction International Conference | June 2012
  
  HCIC
  
  Publication
- OMG, I have to Tweet that! A Study of Factors that Influence Tweet Rates
  
  Emre Kiciman
  
  The 6th Intl. Conference on Weblogs and Social Media (ICWSM) | June 2012
  
  Publication
- «Narcotweets»: Social Media in Wartime
  
  Andrés Monroy-Hernández, Emre Kiciman, danah boyd, Scott Counts
  
  The 6th Intl. Conference on Weblogs and Social Media (ICWSM) | June 2012
  
  Publication
- Language Differences and Metadata Features on Twitter
  
  Emre Kiciman
  
  Web N-gram Workshop at SIGIR 2010 | July 2010
  
  Publication
- Fluxo: A System for Internet Service Programming by Non-expert Developers
  
  Emre Kiciman, Ben Livshits, Madan Musuvathi, Kevin C. Webb
  
  ACM Symposium on Cloud Computing | January 2010
  
  Publication
- FLUXO: A Simple Service Compiler
  
  Emre Kiciman, Ben Livshits, Madan Musuvathi
  
  12th Workshop on Hot Topics in Operating Systems | May 2009
  
  12th Workshop on Hot Topics in Operating Systems
  
  Publication
- (Short Paper) Improving the Responsiveness of Internet Services with Automatic Cache Placement
  
  Alex Rasmussen, Emre Kiciman, Ben Livshits, Madan Musuvathi
  
  EuroSys 2009 | April 2009
  
  Publication
- Doloto: Code Splitting for Network-Bound Web 2.0 Applications
  
  Ben Livshits, Emre Kiciman
  
  Foundations of Software Engineering (FSE) | November 2008
  
  Foundations of Software Engineering (FSE)
  
  Publication Projet
- Fast Variational Inference for Large-scale Internet Diagnosis
  
  John Platt, Emre Kiciman, Dave Maltz
  
  The Conference on Neural Information Processing Systems (NIPS) | December 2007
  
  Publication
- AjaxScope: A Platform for Remotely Monitoring the Client-side Behavior of Web 2.0 Applications
  
  Emre Kiciman, Ben Livshits
  
  The 21st ACM Symposium on Operating Systems Principles (SOSP'07) | October 2007
  
  Publication Publication Projet
- The Roma Personal Metadata Service
  
  Edward Swierk, Emre Kiciman, Vince Laviano, Mary Baker
  
  The 3rd IEEE Workshop on Mobile Computing Systems and Applications | May 2007
  
  Publication
- Live Monitoring: Using Adaptive Instrumentation and Analysis to Debug and Maintain Web Applications
  
  Emre Kiciman, Helen Wang
  
  The 11th Workshop on Hot Topics in Operating Systems (HotOS XI) | May 2007
  
  The 11th Workshop on Hot Topics in Operating Systems (HotOS XI)
  
  Publication Projet
- Flight Data Recorder: Always-on Tracing and Scalable Analysis of Persistent State Interactions to Improve Systems and Security Management
  
  Emre Kiciman, Brad Daniels, Arunvijay Kumar, Yi-Min Wang, Roussi Roussev, Shan Lu, Juhan Lee, Chad Verbowski
  
  The 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI '06) | November 2006
  
  Publication
- Mining Web Logs to Debug Distant Connectivity Problems
  
  Emre Kiciman, Dave Maltz, Moises Goldszmidt, John Platt
  
  ACM SIGCOMM Workshop on Mining Network Data (MineNet-06) | September 2006
  
  Publication
- Autonomic network management: Some pragmatic considerations
  
  Richard Mortier, Emre Kiciman
  
  ACM SIGCOMM Workshop on Internet Network Management (INM) | September 2006
  
  Publication
- Mining Web Logs to Debug Distant Connectivity Problems
  
  Emre Kiciman, Dave Maltz, Moises Goldszmidt, John Platt
  
  ACM SIGCOMM Workshop on Mining Network Data (MineNet-06) | September 2006
  
  ACM SIGCOMM Workshop on Mining Network Data (MineNet-06)
  
  Publication Publication
- Analyzing Persistent State Interactions to Improve State Management
  
  Emre Kiciman, Brad Daniels, Shan Lu, Roussi Roussev, Yi-Min Wang, Chad Verbowski, Juhan Lee
  
  ACM SIGMETRICS 2006 | June 2006
  
  ACM SIGMETRICS 2006
  
  Short Paper.
  
  Publication
- Root Cause Localization in Large Scale Systems
  
  Emre Kiciman, Lakshminarayanan Subramanian
  
  Proceedings of the First Workshop on Hot Topics in System Dependability (HotDep) | June 2005
  
  Publication
- Combining Statistical Monitoring and Predictable Recovery for Self-Management
  
  Armando Fox, Emre Kiciman, David Patterson, Michael Jordan, Randy Katz
  
  2004 Workshop on Self-Managed Systems (WOSS'04) in conjunction with ACM SIGSOFT FSE-12 | October 2004
  
  2004 Workshop on Self-Managed Systems (WOSS'04) in conjunction with ACM SIGSOFT FSE-12
  
  Earlier version presented at 2nd Bertinoro Workshop on Future Directions in Distributed Computing (FuDiCo II): Survivability: Obstacles and Solutions, June 2004
  
  Publication
- Session State: Beyond Soft State
  
  Benjamin C. Ling, Emre Kiciman, Armando Fox
  
  the 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04) | March 2004
  
  Publication
- Path-Based Failure and Evolution Management
  
  Mike Y. Chen, Anthony Accardi, Emre Kiciman, Jim Lloyd, Dave Patterson, Armando Fox, Eric Brewer
  
  The 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04) | March 2004
  
  The 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04)
  
  Publication
- JAGR: An Autonomous Self-Recovering Application Server
  
  George Candea, Emre Kiciman, Steve Zhang, Pedram Keyani, Armando Fox
  
  The 5th International Workshop on Active Middleware Services | June 2003
  
  Publication
- Using Runtime Paths for Macro Analysis
  
  Mike Chen, Emre Kiciman, Anthony Accardi, Armando Fox, Eric Brewer
  
  9th Workshop on Hot Topics in Operating Systems | May 2003
  
  Publication
- Using Internet Services to Manage Massive Evolving Information for Ubiquitous Computing Systems
  
  Emre Kiciman
  
  Ubicomp 2002 Doctoral Consortium. In the Adjunct Proceedings of the Fourth International Conference on Ubiquitous Computing (Ubicomp) 2002 | January 2002
  
  Ubicomp 2002 Doctoral Consortium. In the Adjunct Proceedings of the Fourth International Conference on Ubiquitous Computing (Ubicomp) 2002
  
  Publication
- Pinpoint: Problem Determination in Large, Dynamic, Internet Services
  
  Mike Chen, Emre Kiciman, Eugene Fratkin, Armando Fox, Eric Brewer
  
  The International Conference on Dependable Systems and Networks (IPDS Track) | January 2002
  
  Publication
- An Online Evolutionary Approach to Developing Internet Services
  
  Mike Y. Chen, Emre Kiciman, Eric Brewer
  
  SIGOPS European Workshop | January 2002
  
  Extended Abstract
  
  Publication
- ICEBERG: An Internet-core Network Architecture for Integrated Communications
  
  Helen Wang, Bhaskaran Raman, Chen-nee Chuah, Rahul Biswas, Ramakrishna Gummadi, Barbara Hohlt, Xia Hong, Emre Kiciman, Zhuoqing Mao, Jimmy S. Shih, Lakshminarayanan Subramanian, Ben Y. Zhao, Anthony D. Joseph, Randy H. Katz
  
  IEEE Personal Communications | April 2000
  
  Publication
- ICEBERG: An Internet-core Network Architecture for Integrated Communications
  
  Helen Wang, Bhaskaran Raman, Chen-nee Chuah, Rahul Biswas, Ramakrishna Gummadi, Barbara Hohlt, Xia Hong, Emre Kiciman, Zhuoqing Mao, Jimmy S. Shih, Lakshminarayanan Subramanian, Ben Y. Zhao, Anthony D. Joseph, Randy Katz
  
  IEEE Personal Communications: Special Issue on IP-based Mobile Telecommunications Networks | January 2000
  
  Publication
- Food Choice Mimicry on a Large University Campus
  
  Kristina Gligorić, A. Chiolero, Emre Kiciman, Ryen W. White, Eric Horvitz, R. West
  
  PNAS Nexus | December 2024
  
  DOI Publication Publication Publication Publication
- Enabling Adoption of Regenerative Agriculture through Soil Carbon Copilots
  
  Margaret Capetz, Swati Sharma, Rafael Padilha, Peder Olsen, Jessica Wolk, Emre Kiciman, Ranveer Chandra
  
  ArXiv | November 2024, Vol abs/2411.16872
  
  DOI Publication Publication
- Artificial Intelligence–Based Copilots to Generate Causal Evidence
  
  Maya Petersen, Ahmed Alaa, Emre Kiciman, Chris Holmes, Mark van der Laan
  
  NEJM AI | November 2024
  
  DOI
- Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
  
  Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
  
  Transactions on Machine Learning Research (TMLR) | August 2024
  
  Outstanding Certification Finalist
  
  Selected for presentation at ICLR 2025
  
  Publication Preprint Projet
- Large Language Models as Co-Pilots for Causal Inference in Medical Studies
  
  Ahmed Alaa, Rachael V. Phillips, Emre Kiciman, Laura B. Balzer, M. V. D. Laan, Maya Petersen
  
  ArXiv | July 2024, Vol abs/2407.19118
  
  DOI Publication Publication
- Measuring and shaping the nutritional environment via food sales logs: case studies of campus-wide food choice and a call to action
  
  Kristina Gligorić, Robin Zbinden, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Eric Horvitz, Robert West
  
  Frontiers in Nutrition | June 2024, Vol 11
  
  DOI Publication Publication Publication
- Observer Effect in Social Media Use
  
  Koustuv Saha, Pranshu Gupta, Gloria Mark, Emre Kiciman, M. D. Choudhury
  
  Proceedings of the CHI Conference on Human Factors in Computing Systems | May 2024
  
  DOI Publication Publication
- Defending Against Indirect Prompt Injection Attacks With Spotlighting
  
  Keegan Hines, Gary Lopez, Matthew Hall, Federico Zarfati, Yonatan Zunger, Emre Kiciman
  
  ArXiv | March 2024, Vol abs/2403.14720
  
  DOI Publication Publication
- Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization
  
  Somya Sharma, Swati Sharma, Rafael Padilha, Emre Kiciman, Ranveer Chandra
  
  ArXiv | January 2024, Vol abs/2401.07175
  
  DOI Publication Publication
- Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
  
  Jingwei Yi, Yueqi Xie, Bin Benjamin Zhu, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
  
  ArXiv | December 2023, Vol abs/2312.14197
  
  DOI Publication Publication
- Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning
  
  Sara Abdali, Anjali Parikh, Steve Lim, Emre Kiciman
  
  ArXiv | December 2023, Vol abs/2312.06820
  
  DOI Publication Publication
- TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
  
  Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon
  
  ArXiv | November 2023, Vol abs/2311.01301
  
  DOI Publication Publication
- Sensitivity analysis for causality in observational studies for regulatory science
  
  Iván Díaz, Hana Lee, Emre Kiciman, E. Schenck, Mouna Akacha, Dean Follman, Debashis Ghosh
  
  Journal of Clinical and Translational Science | October 2023, Vol 7
  
  DOI Publication Publication Publication Publication
- Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science
  
  Somya Sharma, Swati Sharma, Licheng Liu, Rishabh Tushir, Andy Neal, Robert Osazuwa Ness, J. Crawford, Emre Kiciman, Ranveer Chandra
  
  ArXiv | June 2023, Vol abs/2306.09302
  
  DOI Publication Publication Publication
- Causal Inference in the Presence of Interference in Sponsored Search Advertising
  
  Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman
  
  Frontiers in Big Data | June 2022, Vol 5
  
  Publication
- Population-scale dietary interests during the COVID-19 pandemic.
  
  Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Robert West
  
  Nature Communications | February 2022, Vol 13(1073)
  
  Publication DOI Vidéo Projet
- Measuring algorithmically infused societies
  
  Claudia Wagner, Markus Strohmaier, Alexandra Olteanu, Emre Kiciman, Noshir Contractor, Tina Eliassi-Rad
  
  Nature | June 2021, Vol 595: pp. 197-204
  
  Publication Publication
- Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
  
  Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
  
  Frontiers in Big Data | July 2019, Vol 2
  
  DOI Publication
- Geographically Resolved Rhythms in Twitter Use Reveal Social Pressures on Daily Activity Patterns
  
  Eugene Leypunskiy, Emre Kiciman, Mili Shah, Olivia J. Walch, Andrey Rzhetsky, Aaron R. Dinner, Michael J. Rust
  
  Current Biology | November 2018, Vol 28: pp. 3763-3775
  
  DOI Publication
- Integrating Artificial and Human Intelligence in Complex, Sensitive Problem Domains: Experiences from Mental Health
  
  Munmun De Choudhury, Emre Kiciman
  
  AI Magazine | September 2018, Vol 39(3)
  
  Publication Projet
- Conjunction of factors triggering waves of seasonal influenza
  
  Ishanu Chattopadhyay, Emre Kiciman, Joshua W. Elliott, Jeffrey L. Shaman, Andrey Rzhetsky
  
  eLife | February 2018, Vol 7: pp. e30756
  
  Publication Publication
- Wildbook: Crowdsourcing, computer vision, and data science for conservation
  
  Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Jason A. Holmberg, Jason Parham, Jonathan Crall, Sreejith Menon, Jon Van Oast, Emre Kiciman, Lucas Joppa
  
  Bloomberg Data for Good Exchange | September 2017
  
  Publication
- Conjunction of Factors Triggering Waves of Seasonal Influenza
  
  Ishanu Chattopadhyay, Emre Kiciman, Joshua Elliott, Jeffrey Shaman, Andrey Rzhetsky
  
  BioRxiv | July 2017
  
  Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence, ® Montreal, QU
  
  Publication Publication Publication
- Online and Social Media Data As an Imperfect Continuous Panel Survey
  
  Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
  
  PlosONE | January 2016, Vol 11
  
  Publication Publication Accès
- Smart Societies: From Citizens as Sensors to Collective Action
  
  Andrés Monroy-Hernández, Shelly D. Farnham, Ph.D., Emre Kiciman, Scott Counts, Munmun De Choudhury
  
  interactions | July 2013
  
  Publication
- AjaxScope: A Platform for Remotely Monitoring the Client-Side Behavior of Web 2.0 Applications
  
  Emre Kiciman, Benjamin Livshits, Ben Livshits
  
  ACM Transactions on the Web (TWEB) | September 2010
  
  This journal article is an extension of our SOSP paper on AjaxScope, and discusses significant follow-on work, including Doloto and MEDic. MEDic is a control and visualizatio ntool for Web application instrumentation to enable on-line debugging; and Doloto, a code splitter that optimizes Web application download time based on analysis of its runtime behavior.
  
  Publication Projet
- Detecting Application-Level Failures in Component-based Internet Services
  
  Emre Kiciman, Armando Fox
  
  IEEE Transactions on Neural Networks: Special Issue on Adaptive Learning Systems in Communication Networks | September 2005
  
  Publication
- The Roma Personal Metadata Service
  
  Edward Swierk, Emre Kiciman, Nathan C. Williams, Takashi Fukushima, Hideki Yoshida, Vince Laviano, Mary Baker
  
  ACM Baltzer Mobile Networks and Applications | October 2002
  
  Publication
- A Causal Roadmap for Generating High-Quality Real-World Evidence
  
  Lauren E Dang, Susan Gruber, Hana Lee, Issa Dahabreh, Elizabeth A Stuart, Brian D Williamson, Richard Wyss, Iván Díaz, Debashis Ghosh, Emre Kiciman, Demissie Alemayehu, Katherine L Hoffman, Carla Y Vossen, Raymond A Huml, Henrik Ravn, Kajsa Kvist, Richard Pratley, Mei-Chiung Shih, Gene Pennello, David Martin, Salina P Waddy, Charles E Barr, Mouna Akacha, John B Buse, Mark van der Laan, Maya Petersen
  
  May 2023
  
  Publication Projet
- Counterfactual (Non-)identifiability of Learned Structural Causal Models
  
  Arash Nasr-Esfahany, Emre Kiciman
  
  January 2023
  
  Publication
- Security and Machine Learning in the Real World
  
  Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li
  
  July 2020
  
  Publication
- AvE: Assistance via Empowerment
  
  Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca Dragan
  
  June 2020
  
  Publication
- Novel Human-Object Interaction Detection via Adversarial Domain Generalization
  
  Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C.-C. Jay Kuo, Pengchuan Zhang
  
  May 2020
  
  Publication
- Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
  
  Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
  
  December 2016
  
  Publication Publication Vidéo
- Observer Effect in Social Media Use
  
  Koustuv Saha, Pranshu Gupta, Gloria Mark, Emre Kiciman, Munmun De Choudhury
  
  January 2023
  
  Honorable Mention, CHI 2024
  
  Preprint
- Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix
  
  Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman
  
  January 2021
  
  arXiv
  
  Publication
- DoWhy: An End-to-End Library for Causal Inference
  
  Amit Sharma, Emre Kiciman
  
  November 2020
  
  Causal Data Science Meeting (https://causalscience.org/)
  
  Publication Vidéo Github Projet
- Robust Neural Networks for Causal Invariant Features Extraction
  
  Shuxi Zeng, Pengchuan Zhang, Denis Charles, Eren Manavoglu, Emre Kiciman
  
  December 2019
  
  NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
- Causal Transfer Random Forest: Leveraging Observational and Randomization Studies
  
  Shuxi Zeng, Emre Kiciman, Denis Charles, Joel Pfeiffer, Murat Ali Bayir
  
  December 2019
  
  NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
- Using Statistical Monitoring to Detect Failures in Internet Services
  
  Emre Kiciman
  
  September 2005
  
  September 2005
  
  Publication

Emre Kiciman

Publications

Enterprise AI Must Enforce Participant-Aware Access Control

Direct Reasoning Optimization: LLMs Can Reward And Refine Their Own Reasoning for Open-Ended Tasks

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

RLTHF: Targeted Human Feedback for LLM Alignment

Food Choice Mimicry on a Large University Campus

Microsoft New Future of Work Report 2024

Enabling Adoption of Regenerative Agriculture through Soil Carbon Copilots

Artificial Intelligence–Based Copilots to Generate Causal Evidence

A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Large Language Models as Co-Pilots for Causal Inference in Medical Studies

Measuring and shaping the nutritional environment via food sales logs: case studies of campus-wide food choice and a call to action

Observer Effect in Social Media Use

Defending Against Indirect Prompt Injection Attacks With Spotlighting

Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization

Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

Sensitivity analysis for causality in observational studies for regulatory science

Towards Modular Machine Learning Pipelines

Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science

A Causal Roadmap for Generating High-Quality Real-World Evidence

Counterfactual (Non-)identifiability of Learned Structural Causal Models

Observer Effect in Social Media Use

Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization

Invariant Language Modeling

A Causal AI Suite for Decision-Making

I Know Your Triggers: Defending against Textual Backdoor Attacks with Benign Backdoor Augmentation

Causal Modeling of Soil Processes for Improved Generalization

Deep End-to-end Causal Inference

Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems

Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization

Causal Inference in the Presence of Interference in Sponsored Search Advertising

Population-scale dietary interests during the COVID-19 pandemic.

Deep End-to-end Causal Inference

Investigations of Performance and Bias in Human-AI Teamwork in Hiring

Formation of Social Ties Predicts Food Choice: A Campus-wide Longitudinal Study

Invariant Language Modeling

DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions

Measuring algorithmically infused societies

Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction

Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions

Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix

DoWhy: An End-to-End Library for Causal Inference

Security and Machine Learning in the Real World

AvE: Assistance via Empowerment

External Information Sharing on Health Forums: An Exploration

Novel Human-Object Interaction Detection via Adversarial Domain Generalization

Causal Transfer Random Forest: Leveraging Observational and Randomization Studies

Robust Neural Networks for Causal Invariant Features Extraction

What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring

Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries

A Social Media Study on the Effects of Psychiatric Medication Use

People and AI See Things Different Implications of Mismatched Perception on HCI for AI Systems

A Distillation Approach to Data Efﬁcient Individual Treatment Effect Estimation

Geographically Resolved Rhythms in Twitter Use Reveal Social Pressures on Daily Activity Patterns

Integrating Artificial and Human Intelligence in Complex, Sensitive Problem Domains: Experiences from Mental Health

Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data

Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use

Conjunction of factors triggering waves of seasonal influenza

Wildbook: Crowdsourcing, computer vision, and data science for conservation

Conjunction of Factors Triggering Waves of Seasonal Influenza

Animal Population Estimation Using Flickr Images

The Language of Social Support in Social Media and its Effect on Suicidal Ideation Risk

Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media

Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries

Information Dissemination in Heterogeneous-Intent Networks

Towards an Open-Domain Framework for Distilling the Outcomes of Personal Experiences from Social Media Timelines

Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media

Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media

Online and Social Media Data As an Imperfect Continuous Panel Survey

Persona-ization: Searching on Behalf of Others

Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships from Social Media

Towards Learning a Knowledge Base of Actions from Experiential Microblogs

Discussion Graphs: Putting Social Media Analysis in Context

Online And Social Media Data As A Flawed Continuous Panel Survey

Effect of Persuasion on Information Diffusion in Social Networks

Entity Linking at the Tail: Sparse Signals, Unknown Entities and Phrase Models