Lewis, Greg

7 publications

CLeaR 2022 Non-Parametric Inference Adaptive to Intrinsic Dimension Khashayar Khosravi, Greg Lewis, Vasilis Syrgkanis

NeurIPS 2021 Double/Debiased Machine Learning for Dynamic Treatment Effects Greg Lewis, Vasilis Syrgkanis

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

NeurIPS 2020 Minimax Estimation of Conditional Moment Models Nishanth Dikkala, Greg Lewis, Lester W. Mackey, 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 Semi-Parametric Efficient Policy Learning with Continuous Actions Victor Chernozhukov, Mert Demirer, Greg Lewis, Vasilis Syrgkanis

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