Susan Athey

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Papers37 papers

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Stable Prediction with Model Misspecification and Agnostic Distribution Shift

Kun Kuang, Ruoxuan Xiong,Peng Cui,Susan Athey,Bo Li

national conference on artificial intelligence, (2020)

Cited by4Bibtex

Synthetic Difference In Differences

Dmitry Arkhangelsky,Susan Athey, David A Hirshberg,Guido W Imbens,Stefan Wager

arXiv: Methodology, (2019)

Bibtex

Balanced Linear Contextual Bandits

Maria Dimakopoulou,Zhengyuan Zhou,Susan Athey,Guido Imbens

AAAI, (2019)

Cited by9EIBibtex

Machine Learning Methods That Economists Should Know About

Susan Athey,Guido W. Imbens

ANNUAL REVIEW OF ECONOMICS, VOL 11, 2019, (2019): 685-725

Bibtex

Counterfactual Inference for Consumer Choice Across Many Product Categories

Robert Donnelly, Francisco J. R. Ruiz,David M. Blei,Susan Athey

CoRR, (2019)

EIBibtex

Machine Learning Methods Economists Should Know About

Susan Athey,Guido Imbens

arXiv: Econometrics, (2019)

Bibtex

Estimating Treatment Effects with Causal Forests: An Application

Susan Athey,Stefan Wager

arXiv: Methodology, (2019)

Bibtex

Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption

Susan Athey,Guido Imbens

National Bureau of Economic Research, (2018)

Cited by4EIBibtex

Multi-agent Online Learning with Asynchronous Feedback Loss

Zhengyuan Zhou,Panayotis Mertikopoulos,Susan Athey,Nicholas Bambos,Peter W. Glynn,Yinyu Ye

neural information processing systems, (2018)

Bibtex

Matrix Completion Methods for Causal Panel Data Models

Susan Athey,Mohsen Bayati, Nikolay Doudchenko,Guido W. Imbens,Khashayar Khosravi

National Bureau of Economic Research, (2018)

Cited by8Bibtex

Learning in Games with Lossy Feedback

Zhengyuan Zhou,Panayotis Mertikopoulos,Susan Athey,Nicholas Bambos,Peter W. Glynn,Yinyu Ye

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 5140-5150

Cited by5EIBibtex

Offline Multi-Action Policy Learning: Generalization and Optimization

Zhengyuan Zhou,Susan Athey,Stefan Wager

arXiv: Machine Learning, (2018)

Cited by25EIBibtex

Local Linear Forests

Rina Friedberg, Julie Tibshirani,Susan Athey, Stefan Wager

CoRR, (2018)

Cited by1EIBibtex

The Digital Privacy Paradox: Small Money, Small Costs, Small Talk

Susan Athey,Christian Catalini,Catherine E. Tucker

National Bureau of Economic Research, (2017)

Cited by2Bibtex

Estimation Considerations in Contextual Bandits

Maria Dimakopoulou,Susan Athey,Guido Imbens

arXiv: Machine Learning, (2017)

Cited by7EIBibtex

Structured Embedding Models for Grouped Data

Maja R. Rudolph,Francisco J. R. Ruiz,Susan Athey,David M. Blei

neural information processing systems, (2017): 250-260

Cited by27EIBibtex

Context Selection for Embedding Models

Li-Ping Liu,Francisco J. R. Ruiz,Susan Athey,David M. Blei

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), (2017): 4819-4828

Cited by10EIBibtex

Efficient Policy Learning

Susan Athey, Stefan Wager

CoRR, (2017)

Cited by117EIBibtex

When Should You Adjust Standard Errors for Clustering

Alberto Abadie,Susan Athey,Guido W. Imbens,Jeffrey M. Wooldridge

National Bureau of Economic Research, (2017)

Cited by13Bibtex

Estimation Considerations in Contextual Bandits

Maria Dimakopoulou, Zhengyuan Zhou,Susan Athey,Guido Imbens

Research Papers, (2017)

Cited by29Bibtex

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Susan AtheyBinding

Papers37 papers

Susan Athey