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Susan Athey

The Economics of Technology Professor, Stanford Graduate School of Business

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Econometric Theory and Machine Learning

Semiparametric Estimation of Treatment Effects in Randomized Experiments

  • Post published:September 1, 2021
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Peter J Bickel, Aiyou Chen, Guido W. Imbens, Michael Pollmann Working Paper, arXiv:2109.02603 September 2021 URL: https://arxiv.org/abs/2109.02603

Continue ReadingSemiparametric Estimation of Treatment Effects in Randomized Experiments

Breiman’s Two Cultures – A Perspective from Econometrics

  • Post published:July 1, 2021
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Guido Imbens Observational Studies, Volume 7, Issue 1, July 2021 July 2021 URL: https://muse.jhu.edu/article/799753

Continue ReadingBreiman’s Two Cultures – A Perspective from Econometrics

Federated Causal Inference in Heterogeneous Observational Data

  • Post published:July 1, 2021
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Ruoxuan Xiong, Allison Koenecke, Michael Powell, Zhu Shen, Joshua T. Vogelstein arXiv:2107.11732 August 2021 URL: https://arxiv.org/abs/2107.11732

Continue ReadingFederated Causal Inference in Heterogeneous Observational Data

Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits

  • Post published:June 1, 2021
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Ruohan Zhan, Vitor Hadad, David A. Hirshberg arXiv:2106.02029 June 2021 URL: https://arxiv.org/abs/2106.02029

Continue ReadingOff-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits

Integrating explanation and prediction in computational social science

  • Post published:June 1, 2021
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Jake M. Hofman, Duncan J. Watts Nature (2021). https://doi.org/10.1038/s41586-021-03659-0. June 2021 URL: https://www.nature.com/articles/s41586-021-03659-0

Continue ReadingIntegrating explanation and prediction in computational social science

Policy Learning with Adaptively Collected Data

  • Post published:May 1, 2021
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Ruohan Zhan, Zhimei Ren, Zhengyuan Zhou arXiv:2105.02344 May 2021 URL: https://arxiv.org/abs/2105.02344

Continue ReadingPolicy Learning with Adaptively Collected Data

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

  • Post published:April 1, 2021
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Guido Imbens Journal of Econometrics, Advanced online April 21, 2021 April 21, 2021 URL: https://www.sciencedirect.com/science/article/abs/pii/S0304407621000488?via%3Dihub

Continue ReadingDesign-based Analysis in Difference-In-Differences Settings with Staggered Adoption

Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations

  • Post published:March 1, 2021
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Guido Imbens, Jonas Metzger, Evan Munro Journal of Econometrics, Advanced online March 20, 2021 March 20, 2021 URL: https://www.sciencedirect.com/science/article/abs/pii/S0304407621000440?via%3Dihub

Continue ReadingUsing Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations

Confidence intervals for policy evaluation in adaptive experiments.

  • Post published:February 1, 2021
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Hadad, Vitor, David A. Hirshberg, Ruohan Zhan, Stefan Wager, and Susan Athey Proceedings of the National Academy of Sciences 118, no. 15 (2021). February 12, 2021 URL: https://arxiv.org/abs/1911.02768

Continue ReadingConfidence intervals for policy evaluation in adaptive experiments.

Adapting to misspecification in contextual bandits with offline regression oracles

  • Post published:February 1, 2021
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Sanath Kumar Krishnamurthy, Vitor Hadad arXiv:2102.13240 February 26, 2021 URL: https://arxiv.org/abs/2102.13240

Continue ReadingAdapting to misspecification in contextual bandits with offline regression oracles
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