Counterfactual Prediction with Deep Instrumental Variables Networks. - Jason S. Hartford; Greg Lewis; Kevin Leyton-Brown; Matt Taddy (CoRR, 2016)

Deep IV: A Flexible Approach for Counterfactual Prediction. - Jason S. Hartford; Greg Lewis; Kevin Leyton-Brown; Matt Taddy (ICML, 2017)

Adversarial Generalized Method of Moments. - Greg Lewis; Vasilis Syrgkanis (CoRR, 2018)

Semi-Parametric Efficient Policy Learning with Continuous Actions. - Victor Chernozhukov; Mert Demirer; Greg Lewis; Vasilis Syrgkanis (NeurIPS, 2019)

Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments. - Vasilis Syrgkanis; Victor Lei; Miruna Oprescu; Maggie Hei; Keith Battocchi; Greg Lewis (NeurIPS, 2019)

Minimax Estimation of Conditional Moment Models. - Nishanth Dikkala; Greg Lewis; Lester Mackey; Vasilis Syrgkanis (NeurIPS, 2020)

Voluntary Disclosure and Personalized Pricing. - S. Nageeb Ali; Greg Lewis; Shoshana Vasserman (EC, 2020)

Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models. - Jiafeng Chen; Daniel L. Chen; Greg Lewis (CoRR, 2020)

Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber. - 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 (KDD, 2021)

Estimating the Long-Term Effects of Novel Treatments. - Keith Battocchi; Eleanor Dillon; Maggie Hei; Greg Lewis; Miruna Oprescu; Vasilis Syrgkanis (NeurIPS, 2021)

Double/Debiased Machine Learning for Dynamic Treatment Effects. - Greg Lewis; Vasilis Syrgkanis (NeurIPS, 2021)

Non-parametric Inference Adaptive to Intrinsic Dimension. - Khashayar Khosravi; Greg Lewis; Vasilis Syrgkanis (CLeaR, 2022)

Learning Product Characteristics and Consumer Preferences from Search Data. - Luis Armona; Greg Lewis; Georgios Zervas (Mark. Sci., 2025)