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Greg Lewis
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2020 – today
- 2022
- [c10]Khashayar Khosravi, Greg Lewis, Vasilis Syrgkanis:
Non-parametric Inference Adaptive to Intrinsic Dimension. CLeaR 2022: 373-389 - 2021
- [c9]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: 4072-4073 - [c8]Keith Battocchi, Eleanor Dillon, Maggie Hei, Greg Lewis, Miruna Oprescu, Vasilis Syrgkanis:
Estimating the Long-Term Effects of Novel Treatments. NeurIPS 2021: 2925-2935 - [c7]Greg Lewis, Vasilis Syrgkanis:
Double/Debiased Machine Learning for Dynamic Treatment Effects. NeurIPS 2021: 22695-22707 - [c6]Luis Armona, Greg Lewis, Georgios Zervas:
Learning Product Characteristics and Consumer Preferences from Search Data. EC 2021: 98-99 - 2020
- [c5]Nishanth Dikkala, Greg Lewis, Lester Mackey, Vasilis Syrgkanis:
Minimax Estimation of Conditional Moment Models. NeurIPS 2020 - [c4]S. Nageeb Ali, Greg Lewis, Shoshana Vasserman:
Voluntary Disclosure and Personalized Pricing. EC 2020: 537-538 - [i8]Greg Lewis, Vasilis Syrgkanis:
Double/Debiased Machine Learning for Dynamic Treatment Effects. CoRR abs/2002.07285 (2020) - [i7]Nishanth Dikkala, Greg Lewis, Lester Mackey, Vasilis Syrgkanis:
Minimax Estimation of Conditional Moment Models. CoRR abs/2006.07201 (2020) - [i6]Jiafeng Chen, Daniel L. Chen, Greg Lewis:
Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models. CoRR abs/2011.06158 (2020)
2010 – 2019
- 2019
- [c3]Victor Chernozhukov, Mert Demirer, Greg Lewis, Vasilis Syrgkanis:
Semi-Parametric Efficient Policy Learning with Continuous Actions. NeurIPS 2019: 15039-15049 - [c2]Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis:
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments. NeurIPS 2019: 15167-15176 - [i5]Khashayar Khosravi, Greg Lewis, Vasilis Syrgkanis:
Non-Parametric Inference Adaptive to Intrinsic Dimension. CoRR abs/1901.03719 (2019) - [i4]Mert Demirer, Vasilis Syrgkanis, Greg Lewis, Victor Chernozhukov:
Semi-Parametric Efficient Policy Learning with Continuous Actions. CoRR abs/1905.10116 (2019) - [i3]Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis:
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments. CoRR abs/1905.10176 (2019) - 2018
- [i2]Greg Lewis, Vasilis Syrgkanis:
Adversarial Generalized Method of Moments. CoRR abs/1803.07164 (2018) - 2017
- [c1]Jason S. Hartford, Greg Lewis, Kevin Leyton-Brown, Matt Taddy:
Deep IV: A Flexible Approach for Counterfactual Prediction. ICML 2017: 1414-1423 - 2016
- [i1]Jason S. Hartford, Greg Lewis, Kevin Leyton-Brown, Matt Taddy:
Counterfactual Prediction with Deep Instrumental Variables Networks. CoRR abs/1612.09596 (2016)
Coauthor Index
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