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Greg Lewis
Greg Lewis
Amazon
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Deep IV: A flexible approach for counterfactual prediction
J Hartford, G Lewis, K Leyton-Brown, M Taddy
International Conference on Machine Learning, 1414-1423, 2017
581*2017
Procurement contracting with time incentives: Theory and evidence
G Lewis, P Bajari
The Quarterly Journal of Economics 126 (3), 1173-1211, 2011
393*2011
Asymmetric information, adverse selection and online disclosure: The case of eBay motors
G Lewis
Adverse Selection and Online Disclosure: The Case of eBay Motors (Jan 12, 2010), 2009
3812009
Student portfolios and the college admissions problem
H Chade, G Lewis, L Smith
Aizona State University, Harvard University, and University of Wisconsin, 2011
240*2011
Just starting out: Learning and equilibrium in a new market
U Doraszelski, G Lewis, A Pakes
American Economic Review 108 (3), 565-615, 2018
1612018
Buy-it-now or Take-a-chance: Price Discrimination through Randomized Auctions
LE Celis, G Lewis, MM Mobius, H Nazerzadeh
National Bureau of Economic Research, 2012
127*2012
Voluntary disclosure and personalized pricing
SN Ali, G Lewis, S Vasserman
Proceedings of the 21st ACM Conference on Economics and Computation, 537-538, 2020
1242020
Moral hazard, incentive contracts, and risk: evidence from procurement
G Lewis, P Bajari
Review of Economic Studies 81 (3), 1201-1228, 2014
1242014
EconML: a Python package for ML-based heterogeneous treatment effects estimation
K Battocchi, E Dillon, M Hei, G Lewis, P Oka, M Oprescu, V Syrgkanis
Version 0. x, 2019
922019
Minimax estimation of conditional moment models
N Dikkala, G Lewis, L Mackey, V Syrgkanis
Advances in Neural Information Processing Systems 33, 12248-12262, 2020
902020
Dynamic Demand Estimation in Auction Markets
M Backus, G Lewis
79*2012
The welfare impact of consumer reviews: A case study of the hotel industry
G Lewis, G Zervas
Unpublished manuscript, 2016
67*2016
Machine learning estimation of heterogeneous treatment effects with instruments
V Syrgkanis, V Lei, M Oprescu, M Hei, K Battocchi, G Lewis
Advances in Neural Information Processing Systems 32, 2019
632019
Semi-parametric efficient policy learning with continuous actions
V Chernozhukov, M Demirer, G Lewis, V Syrgkanis
Advances in Neural Information Processing Systems 32, 2019
532019
Adversarial generalized method of moments
G Lewis, V Syrgkanis
arXiv preprint arXiv:1803.07164, 2018
482018
Double/debiased machine learning for dynamic treatment effects via g-estimation
G Lewis, V Syrgkanis
arXiv preprint arXiv:2002.07285, 2020
35*2020
You can lead a horse to water: Spatial learning and path dependence in consumer search
C Hodgson, G Lewis
National Bureau of Economic Research, 2023
272023
Causal inference and machine learning in practice with econml and causalml: Industrial use cases at microsoft, tripadvisor, uber
V Syrgkanis, G Lewis, M Oprescu, M Hei, K Battocchi, E Dillon, J Pan, ...
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
222021
Justifications for TSLS and a mostly harmless improvement
J Chen, DL Chen, G Lewis
14*2024
Estimating the long-term effects of novel treatments
K Battocchi, E Dillon, M Hei, G Lewis, M Oprescu, V Syrgkanis
Advances in Neural Information Processing Systems 34, 2925-2935, 2021
142021
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