Greg Lewis

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 18

Top Topics

Machine Learning

Causal Inference

Intrinsic Dimension

Top Venues

Publications

Khashayar Khosravi, Greg Lewis, Vasilis Syrgkanis
Non-parametric Inference Adaptive to Intrinsic Dimension. CLeaR (2022)
Keith Battocchi, Eleanor Dillon, Maggie Hei, Greg Lewis, Miruna Oprescu, Vasilis Syrgkanis
Estimating the Long-Term Effects of Novel Treatments. NeurIPS (2021)
Vasilis Syrgkanis, Greg Lewis, Miruna Oprescu, Maggie Hei, Keith Battocchi, Eleanor Dillon, Jing Pan, Yifeng Wu, Paul Lo, Huigang Chen, Totte Harinen, Jeong-Yoon Lee
Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber. KDD (2021)
Greg Lewis, Vasilis Syrgkanis
Double/Debiased Machine Learning for Dynamic Treatment Effects. NeurIPS (2021)
Luis Armona, Greg Lewis, Georgios Zervas
Learning Product Characteristics and Consumer Preferences from Search Data. EC (2021)
Jiafeng Chen, Daniel L. Chen, Greg Lewis
Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models. CoRR (2020)
Nishanth Dikkala, Greg Lewis, Lester Mackey, Vasilis Syrgkanis
Minimax Estimation of Conditional Moment Models. CoRR (2020)
Nishanth Dikkala, Greg Lewis, Lester Mackey, Vasilis Syrgkanis
Minimax Estimation of Conditional Moment Models. NeurIPS (2020)
S. Nageeb Ali, Greg Lewis, Shoshana Vasserman
Voluntary Disclosure and Personalized Pricing. EC (2020)
Greg Lewis, Vasilis Syrgkanis
Double/Debiased Machine Learning for Dynamic Treatment Effects. CoRR (2020)
Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments. CoRR (2019)
Khashayar Khosravi, Greg Lewis, Vasilis Syrgkanis
Non-Parametric Inference Adaptive to Intrinsic Dimension. CoRR (2019)
Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments. NeurIPS (2019)
Victor Chernozhukov, Mert Demirer, Greg Lewis, Vasilis Syrgkanis
Semi-Parametric Efficient Policy Learning with Continuous Actions. NeurIPS (2019)
Mert Demirer, Vasilis Syrgkanis, Greg Lewis, Victor Chernozhukov
Semi-Parametric Efficient Policy Learning with Continuous Actions. CoRR (2019)
Greg Lewis, Vasilis Syrgkanis
Adversarial Generalized Method of Moments. CoRR (2018)
Jason S. Hartford, Greg Lewis, Kevin Leyton-Brown, Matt Taddy
Deep IV: A Flexible Approach for Counterfactual Prediction. ICML (2017)
Jason S. Hartford, Greg Lewis, Kevin Leyton-Brown, Matt Taddy
Counterfactual Prediction with Deep Instrumental Variables Networks. CoRR (2016)