Greg Lewis

19 papers A* 9Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning Product Characteristics and Consumer Preferences from Search Data.
Mark. Sci.
Luis Armona, Greg Lewis, Georgios Zervas
2022 — conf
Non-parametric Inference Adaptive to Intrinsic Dimension.
CLeaR
Khashayar Khosravi, Greg Lewis, Vasilis Syrgkanis
2021 A* conf
Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber.
KDD
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
2021 A* conf
Double/Debiased Machine Learning for Dynamic Treatment Effects.
NeurIPS
Greg Lewis, Vasilis Syrgkanis
2021 A* conf
Estimating the Long-Term Effects of Novel Treatments.
NeurIPS
Keith Battocchi, Eleanor Dillon, Maggie Hei, Greg Lewis, Miruna Oprescu, Vasilis Syrgkanis
2021 A* conf
Learning Product Characteristics and Consumer Preferences from Search Data.
EC
Luis Armona, Greg Lewis, Georgios Zervas
2020 J jnl
Double/Debiased Machine Learning for Dynamic Treatment Effects.
CoRR
Greg Lewis, Vasilis Syrgkanis
2020 A* conf
Minimax Estimation of Conditional Moment Models.
NeurIPS
Nishanth Dikkala, Greg Lewis, Lester Mackey, Vasilis Syrgkanis
2020 J jnl
Minimax Estimation of Conditional Moment Models.
CoRR
Nishanth Dikkala, Greg Lewis, Lester Mackey, Vasilis Syrgkanis
2020 J jnl
Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models.
CoRR
Jiafeng Chen, Daniel L. Chen, Greg Lewis
2020 A* conf
Voluntary Disclosure and Personalized Pricing.
EC
S. Nageeb Ali, Greg Lewis, Shoshana Vasserman
2019 A* conf
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments.
NeurIPS
Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis
2019 J jnl
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments.
CoRR
Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis
2019 J jnl
Non-Parametric Inference Adaptive to Intrinsic Dimension.
CoRR
Khashayar Khosravi, Greg Lewis, Vasilis Syrgkanis
2019 A* conf
Semi-Parametric Efficient Policy Learning with Continuous Actions.
NeurIPS
Victor Chernozhukov, Mert Demirer, Greg Lewis, Vasilis Syrgkanis
2019 J jnl
Semi-Parametric Efficient Policy Learning with Continuous Actions.
CoRR
Mert Demirer, Vasilis Syrgkanis, Greg Lewis, Victor Chernozhukov
2018 J jnl
Adversarial Generalized Method of Moments.
CoRR
Greg Lewis, Vasilis Syrgkanis
2017 A* conf
Deep IV: A Flexible Approach for Counterfactual Prediction.
ICML
Jason S. Hartford, Greg Lewis, Kevin Leyton-Brown, Matt Taddy
2016 J jnl
Counterfactual Prediction with Deep Instrumental Variables Networks.
CoRR
Jason S. Hartford, Greg Lewis, Kevin Leyton-Brown, Matt Taddy