Susan Athey

According to our database, Susan Athey authored at least 43 papers between 1990 and 2023.

Collaborative distances:

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

2023

Offline Multi-Action Policy Learning: Generalization and Optimization.

Zhengyuan Zhou, Susan Athey, Stefan Wager

Oper. Res., January, 2023

Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal.

Susan Athey, Niall Keleher, Jann Spiess

CoRR, 2023

Federated Offline Policy Learning with Heterogeneous Observational Data.

Aldo Gael Carranza, Susan Athey

CoRR, 2023

Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python.

Tianyu Du, Ayush Kanodia, Susan Athey

CoRR, 2023

Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization.

Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles.

Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Stable learning establishes some common ground between causal inference and machine learning.

Peng Cui, Susan Athey

Nat. Mach. Intell., 2022

Battling the Coronavirus 'Infodemic' Among Social Media Users in Africa.

Molly Offer-Westort, Leah R. Rosenzweig, Susan Athey

CoRR, 2022

Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning.

Susan Athey, Undral Byambadalai, Vitor Hadad, Sanath Kumar Krishnamurthy, Weiwen Leung, Joseph Jay Williams

CoRR, 2022

Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracle.

Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey

CoRR, 2022

Learning Transferrable Representations of Career Trajectories for Economic Prediction.

Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David M. Blei

CoRR, 2022

2021

Local Linear Forests.

Rina Friedberg, Julie Tibshirani, Susan Athey, Stefan Wager

J. Comput. Graph. Stat., 2021

Federated Causal Inference in Heterogeneous Observational Data.

Ruoxuan Xiong, Allison Koenecke, Michael A. Powell, Zhu Shen, Joshua T. Vogelstein, Susan Athey

CoRR, 2021

Optimal Model Selection in Contextual Bandits with Many Classes via Offline Oracles.

Sanath Kumar Krishnamurthy, Susan Athey

CoRR, 2021

Policy Learning with Adaptively Collected Data.

Ruohan Zhan, Zhimei Ren, Susan Athey, Zhengyuan Zhou

CoRR, 2021

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

Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey

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

Adapting to misspecification in contextual bandits with offline regression oracles.

Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey

Proceedings of the 38th International Conference on Machine Learning, 2021

Tractable contextual bandits beyond realizability.

Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

policytree: Policy learning via doubly robust empirical welfare maximization over trees.

Erik Sverdrup, Ayush Kanodia, Zhengyuan Zhou, Susan Athey, Stefan Wager

J. Open Source Softw., 2020

Peaches, lemons, and cookies: Designing auction markets with dispersed information.

Ittai Abraham, Susan Athey, Moshe Babaioff, Michael Grubb

Games Econ. Behav., 2020

Survey Bandits with Regret Guarantees.

Sanath Kumar Krishnamurthy, Susan Athey

CoRR, 2020

Stable Prediction with Model Misspecification and Agnostic Distribution Shift.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Confidence Intervals for Policy Evaluation in Adaptive Experiments.

Vitor Hadad, David A. Hirshberg, Ruohan Zhan, Stefan Wager, Susan Athey

CoRR, 2019

Sufficient Representations for Categorical Variables.

Jonathan Johannemann, Vitor Hadad, Susan Athey, Stefan Wager

CoRR, 2019

Counterfactual Inference for Consumer Choice Across Many Product Categories.

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

CoRR, 2019

Balanced Linear Contextual Bandits.

Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

The Impact of Consumer Multi-homing on Advertising Markets and Media Competition.

Susan Athey, Emilio Calvano, Joshua S. Gans

Manag. Sci., 2018

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

Susan Athey, Guido Imbens

CoRR, 2018

Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data.

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

CoRR, 2018

Learning in Games with Lossy Feedback.

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

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Stable Prediction across Unknown Environments.

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

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Estimation Considerations in Contextual Bandits.

Maria Dimakopoulou, Susan Athey, Guido Imbens

CoRR, 2017

SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements.

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

CoRR, 2017

Efficient Policy Learning.

Susan Athey, Stefan Wager

CoRR, 2017

Structured Embedding Models for Grouped Data.

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

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Context Selection for Embedding Models.

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

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015

Machine Learning and Causal Inference for Policy Evaluation.

Susan Athey

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2011

Use of the World Wide Web by the Portuguese Accommodation Industry.

Susan Athey

J. Inf. Technol. Tour., 2011

2009

Designing markets: economics, computer science and the real world.

Susan Athey

Proceedings of the 12th Conference on Theoretical Aspects of Rationality and Knowledge (TARK-2009), 2009

2007

Programming Standards for the Information Systems Curriculum.

Julie Tomlin, John A. Hoxmeier, Susan Athey

Proceedings of the Reaching New Heights. 13th Americas Conference on Information Systems, 2007

2000

An Evaluation of Research Productivity in Academic IT.

Susan Athey, John Plotnicki

Commun. Assoc. Inf. Syst., 2000

Where have all the women gone?

Susan Athey, John A. Hoxmeier

Proceedings of the Challenges of Information Technology Management in the 21st Century, 2000

1990

A Comparison of the Fortune 500 and AACSB Accredited Universities' Software Copying Policies.

Susan Athey

J. Inf. Syst. Educ., 1990