Microsoft at KDD 2019
Location: Anchorage, Alaska
Sunday, August 4
8:00 AM–12:00 PM | Tutorial
Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments
Xiaolin Shi, Pavel Dmitriev, Somit Gupta, Xin Fu
8:00 AM–12:00 PM | Tutorial
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned
Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kıcıman, Margaret Mitchell
8:00 AM–5:00 PM | Tutorial
Learning From Networks: Algorithms, Theory, & Applications
Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu
Monday, August 5
8:00 AM–12:00 PM
KDD 2019 Workshop on Causal Discovery (CD2019)
Organizers: Thuc Le, Jiuyong Li, Kun Zhang, Emre Kıcıman, Peng Cui, Aapo Hyvärinen
Keynote speaker: Ronny Kohavi
1:00 PM–5:00 PM
Truth Discovery and Fact Checking: Theory and Practice
Organizers: Subhabrata Mukherjee, Qi Li, Cong Yu, Jiawei Han
Keynote speaker: Emre Kiciman
Spotlight speaker: Subhabrata Mukherjee
7:00 PM–9:00 PM | Idlughet (Eklutna) Exhibit Hall
Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding
Zhige Li, Derek Yang, Li Zhao, Jiang Bian, Tao Qin, Tie-Yan Liu
7:00 PM–9:00 PM | Idlughet (Eklutna) Exhibit Hall
A Multiscale Scan Statistic for Adaptive Submatrix Localization
Yuchao Liu, Ery Arias-Castro
7:00 PM–9:00 PM | Idlughet (Eklutna) Exhibit Hall
DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
Guolin Ke, Zhenhui Xu, Jia Zhang, Jiang Bian, Tie-Yan Liu
7:00 PM–9:00 PM | Idlughet (Eklutna) Exhibit Hall
Axiomatic Interpretability for Multiclass Additive Models
Xuezhou Zhang, Sarah Tan, Paul Koch, Urszula Chajewska, Rich Caruana
7:00 PM–9:00 PM | Idlughet (Eklutna) Exhibit Hall
λOpt: Learn to Regularize Recommender Models in Finer Levels
Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang
7:00 PM–9:00 PM | Idlughet (Eklutna) Exhibit Hall
Factorization Bandits for Online Influence Maximization
Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang
7:00 PM–9:00 PM | Idlughet (Eklutna) Exhibit Hall
Time-Series Anomaly Detection Service at Microsoft
Hansheng Ren, Bixiong Xu, Yujing Wang, Chao Yi, Congrui Huang, Tony Xing, Xiaoyu Kou, Mao Yang, Jie Tong, Qi Zhang
Tuesday, August 6
8:00 AM–9:30 AM | Dena’ina Center
Opening Keynote Address
Keynote Speaker: Peter Lee
9:30 AM–12:30 PM | Hands-on Tutorial
Democratizing & Accelerating AI through Automated Machine Learning
Parashar Shah, Krishna Anumalasetty
10:00 AM–12:00 PM | Auto-ML and Development Frameworks | Summit 1
Pythia: AI-assisted Code Completion System
Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu, Neel Sundaresan
1:30 PM–3:30 PM | Applied Data Science | Cook Room
Preventing Rhino Poaching through Machine Learning
Olga Liakhovich, Gabriel Dominguez Conde
1:30 PM–3:30 PM | Language Models and Text Mining | Summit 1
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition
Anil R Yelundur, Vineet Chaoji, Bamdev Mishra
1:30 PM–4:30 PM | Hands-on Tutorial
Cloud-Based Data Science at the Speed of Thought Using RAPIDS – the Open GPU Data Science Ecosystem
Brad Rees, Bartley Richardson, Tom Drabas, Keith Kraus, Corey Nolet, Juan-Arturo Herrera
4:00 PM–6:00 PM | Real-Time and Online | Summit 1
Time-Series Anomaly Detection Service at Microsoft
Hansheng Ren, Bixiong Xu, Yujing Wang, Chao Yi, Congrui Huang, Tony Xing, Xiaoyu Kou, Mao Yang, Jie Tong, Qi Zhang
7:00 PM–9:00 PM | Idlughet (Eklutna) Exhibit Hall
Diagnosing Sample Ratio Mismatch in Online Controlled Experiments: A Taxonomy and Rules of Thumb for Practitioners
Aleksander Fabijan, Jayant Gupchup, Somit Gupta, Jeff Omhover, Wen Qin, Lukas Vermeer, Pavel Dmitriev
7:00 PM–9:00 PM | Idlughet (Eklutna) Exhibit Hall
Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
7:00 PM–9:00 PM | Idlughet (Eklutna) Exhibit Hall
Machine Learning at Microsoft with ML.NET
Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupre, Vadim Eksarevskiy, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu
7:00 PM–9:00 PM | Idlughet (Eklutna) Exhibit Hall
NPA: Neural News Recommendation with Personalized Attention
Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie
7:00 PM–9:00 PM | Idlughet (Eklutna) Exhibit Hall
On Dynamic Network Models and Application to Causal Impact
Yu-Chia Chen, Avleen S. Bijral, Juan Lavista Ferres
Wednesday, August 7
8:00 AM–11:45 AM | Social Impact Workshop
Machine Learning for Humanitarian Data: Tag Prediction using the HXL Standard
Vinitra Swamy, Elisa Chen, Anish Vankayalapati, Abhay Aggarwal, Chloe Liu, Vani Mandava, Simon Johnson
8:30 AM–9:00 AM | Project Showcase
Big Data Challenges and Opportunities: A Case Study in Microsoft Academic
Keynote speaker: Kuansan Wang
9:30 AM–12:30 PM | Hands-on Tutorial
Deep Learning for Time Series Forecasting
Yijing Chen, Dmitry Pechyoni, Angus Taylor, Vanja Paunic
10:00 AM–12:00 PM | Embeddings II | Summit 2
Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding
Zhige Li, Derek Yang, Li Zhao, Jiang Bian, Tao Qin, Tie-Yan Liu
10:00 AM–12:00 PM | Clustering and Visualization | Summit 3
A Multiscale Scan Statistic for Adaptive Submatrix Localization
Yuchao Liu, Ery Arias-Castro
10:00 AM–12:00 PM | Clustering and Visualization | Summit 3
Scalable Hierarchical Clustering with Tree Grafting
Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael Glass, Andrew McCallum
10:00 AM–12:00 PM | Applied Data Science | Cook Room
From Code to Data: AI at Scale for Developer Productivity
Neel Sundaresan
10:00 AM–12:00 PM | Scalability and Novel Applications | Summit 1
DeepRoof: A Data-driven Approach For Solar Potential Estimation Using Rooftop Imagery
Stephen Lee, Srinivasan Iyengar, Menghong Feng, Prashant Shenoy, Subhransu Maji
1:30 PM–3:30 PM | Applied Data Science | Cook Room
Friends Don’t Let Friends Deploy Black-Box Models: The Importance of Intelligibility in Machine Learning
Rich Caruana
1:30 PM–3:30 PM | Environment and Sustainability | Summit 1
AccuAir: Winning Solution to Air Quality Prediction for KDD Cup 2018
Zhipeng Luo, Jianqiang Huang, Ke Hu, Xue Li, Peng Zhang
Thursday, August 8
9:30 AM–4:00 PM | Hands-on Tutorial
From Graph to Knowledge Graph: Mining Large-scale Heterogeneous Networks Using Spark
Iris Shen, Charles Huang, Chieh-Han Wu, Anshul Kanakia
10:00 AM–12:00 PM | Sensor and Consumer Services | Summit 1
Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data
Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe
10:00 AM–12:00 PM | Machine Learning Themes I | Summit 2
DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
Guolin Ke, Zhenhui Xu, Jia Zhang, Jiang Bian, Tie-Yan Liu
10:00 AM–12:00 PM | Interpretability | Summit 3
Axiomatic Interpretability for Multiclass Additive Models
Xuezhou Zhang, Sarah Tan, Paul Koch, Urszula Chajewska, Rich Caruana
10:00 AM–12:00 PM | Recommender Systems II | Summit 4
λOpt: Learn to Regularize Recommender Models in Finer Levels
Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang
1:00 PM–4:00 PM | Hands-on Tutorial
Building production-ready recommendation systems at scale
Le Zhang, Tao Wu, Xing Xie, Andreas Argyriou, Miguel Fierro, Jianxun Lian
1:30 PM–3:30 PM | Online and incremental algorithms | Summit 3
Factorization Bandits for Online Influence Maximization
Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang