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
Publications
Publications
Publications by Year
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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
Matching Learned Causal Effects of Neural Networks with Domain Priors
Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N Balasubramainan, Amit Sharma
ICML 2022 | July 2022
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
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Domain Generalization using Causal Matching
Divyat Mahajan, Shruti Tople, Amit Sharma
International Conference on Machine Learning (ICML) | July 2021
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions
Amit Sharma, Cheng Zhang, Vasilis Syrgkanis, Emre Kiciman
MSR-TR-2021-15 | July 2021
Published by ICML 2021 workshop on the Neglected Assumptions in Causal Inference
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
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DoWhy: An End-to-End Library for Causal Inference
November 2020
Causal Data Science Meeting (https://causalscience.org/)
Alleviating Privacy Attacks via Causal Learning
Shruti Tople, Amit Sharma, Aditya V. Nori
International Conference on Machine Learning (ICML) | July 2020
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Necessary and Probably Sufficient Test for Finding Valid Instrumental Variables
December 2018
Tutorial on Causal Inference and Counterfactual Reasoning
ACM KDD International Conference on Knowledge Discovery and Data Mining | August 2018
Publications by Research Area
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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
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
Matching Learned Causal Effects of Neural Networks with Domain Priors
Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N Balasubramainan, Amit Sharma
ICML 2022 | July 2022
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
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions
Amit Sharma, Cheng Zhang, Vasilis Syrgkanis, Emre Kiciman
MSR-TR-2021-15 | July 2021
Published by ICML 2021 workshop on the Neglected Assumptions in Causal Inference
Domain Generalization using Causal Matching
Divyat Mahajan, Shruti Tople, Amit Sharma
International Conference on Machine Learning (ICML) | July 2021
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
DoWhy: An End-to-End Library for Causal Inference
November 2020
Causal Data Science Meeting (https://causalscience.org/)
Alleviating Privacy Attacks via Causal Learning
Shruti Tople, Amit Sharma, Aditya V. Nori
International Conference on Machine Learning (ICML) | July 2020
Necessary and Probably Sufficient Test for Finding Valid Instrumental Variables
December 2018
Tutorial on Causal Inference and Counterfactual Reasoning
ACM KDD International Conference on Knowledge Discovery and Data Mining | August 2018
-
Domain Generalization using Causal Matching
Divyat Mahajan, Shruti Tople, Amit Sharma
International Conference on Machine Learning (ICML) | July 2021
-
Alleviating Privacy Attacks via Causal Learning
Shruti Tople, Amit Sharma, Aditya V. Nori
International Conference on Machine Learning (ICML) | July 2020
-
Publications by Type
-
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
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
Matching Learned Causal Effects of Neural Networks with Domain Priors
Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N Balasubramainan, Amit Sharma
ICML 2022 | July 2022
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
Domain Generalization using Causal Matching
Divyat Mahajan, Shruti Tople, Amit Sharma
International Conference on Machine Learning (ICML) | July 2021
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
Alleviating Privacy Attacks via Causal Learning
Shruti Tople, Amit Sharma, Aditya V. Nori
International Conference on Machine Learning (ICML) | July 2020
Tutorial on Causal Inference and Counterfactual Reasoning
ACM KDD International Conference on Knowledge Discovery and Data Mining | August 2018
-
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions
Amit Sharma, Cheng Zhang, Vasilis Syrgkanis, Emre Kiciman
MSR-TR-2021-15 | July 2021
Published by ICML 2021 workshop on the Neglected Assumptions in Causal Inference
-
DoWhy: An End-to-End Library for Causal Inference
November 2020
Causal Data Science Meeting (https://causalscience.org/)
Necessary and Probably Sufficient Test for Finding Valid Instrumental Variables
December 2018
People
Amit Sharma
Principal Researcher
Emre Kiciman
Senior Principal Research Manager