Greg Lewis

According to our database, Greg Lewis authored at least 13 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Non-parametric Inference Adaptive to Intrinsic Dimension.

Khashayar Khosravi, Greg Lewis, Vasilis Syrgkanis

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

Learning Product Characteristics and Consumer Preferences from Search Data.

Luis Armona, Greg Lewis, Georgios Zervas

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Double/Debiased Machine Learning for Dynamic Treatment Effects.

Greg Lewis, Vasilis Syrgkanis

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Estimating the Long-Term Effects of Novel Treatments.

Keith Battocchi, Eleanor Dillon, Maggie Hei, Greg Lewis, Miruna Oprescu, Vasilis Syrgkanis

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models.

Jiafeng Chen, Daniel L. Chen, Greg Lewis

CoRR, 2020

Voluntary Disclosure and Personalized Pricing.

S. Nageeb Ali, Greg Lewis, Shoshana Vasserman

Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Minimax Estimation of Conditional Moment Models.

Nishanth Dikkala, Greg Lewis, Lester Mackey, Vasilis Syrgkanis

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments.

Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Semi-Parametric Efficient Policy Learning with Continuous Actions.

Victor Chernozhukov, Mert Demirer, Greg Lewis, Vasilis Syrgkanis

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Adversarial Generalized Method of Moments.

Greg Lewis, Vasilis Syrgkanis

CoRR, 2018

2017

Deep IV: A Flexible Approach for Counterfactual Prediction.

Jason S. Hartford, Greg Lewis, Kevin Leyton-Brown, Matt Taddy

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Counterfactual Prediction with Deep Instrumental Variables Networks.

Jason S. Hartford, Greg Lewis, Kevin Leyton-Brown, Matt Taddy

CoRR, 2016