Susan Athey

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 50

Top Topics

Multi Armed Bandits

Machine Learning

Observational Data

Causal Inference

Top Venues

Publications

Sanath Kumar Krishnamurthy, Adrienne M. Propp, Susan Athey
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective. AISTATS (2024)
Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David M. Blei
CAREER: A Foundation Model for Labor Sequence Data. Trans. Mach. Learn. Res. 2024 (2024)
Sanath Kumar Krishnamurthy, Susan Athey, Emma Brunskill
Data-driven Error Estimation: Upper Bounding Multiple Errors with No Technical Debt. CoRR (2024)
Tianyu Du, Ayush Kanodia, Herman Brunborg, Keyon Vafa, Susan Athey
LABOR-LLM: Language-Based Occupational Representations with Large Language Models. CoRR (2024)
Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles. AISTATS (2023)
Zhengyuan Zhou, Susan Athey, Stefan Wager
Offline Multi-Action Policy Learning: Generalization and Optimization. Oper. Res. 71 (1) (2023)
Aldo Gael Carranza, Susan Athey
Federated Offline Policy Learning with Heterogeneous Observational Data. CoRR (2023)
Susan Athey, Niall Keleher, Jann Spiess
Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal. CoRR (2023)
Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization. CoRR (2023)
Tianyu Du, Ayush Kanodia, Susan Athey
Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python. CoRR (2023)
Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization. NeurIPS (2023)
Susan Athey, Undral Byambadalai, Vitor Hadad, Sanath Kumar Krishnamurthy, Weiwen Leung, Joseph Jay Williams
Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning. CoRR (2022)
Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracle. CoRR (2022)
Peng Cui, Susan Athey
Stable learning establishes some common ground between causal inference and machine learning. Nat. Mach. Intell. 4 (2) (2022)
Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David M. Blei
Learning Transferrable Representations of Career Trajectories for Economic Prediction. CoRR (2022)
Molly Offer-Westort, Leah R. Rosenzweig, Susan Athey
Battling the Coronavirus 'Infodemic' Among Social Media Users in Africa. CoRR (2022)
Ruohan Zhan, Zhimei Ren, Susan Athey, Zhengyuan Zhou
Policy Learning with Adaptively Collected Data. CoRR (2021)
Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey
Adapting to misspecification in contextual bandits with offline regression oracles. CoRR (2021)
Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey
Tractable contextual bandits beyond realizability. AISTATS (2021)
Sanath Kumar Krishnamurthy, Susan Athey
Optimal Model Selection in Contextual Bandits with Many Classes via Offline Oracles. CoRR (2021)
Ruoxuan Xiong, Allison Koenecke, Michael Powell, Zhu Shen, Joshua T. Vogelstein, Susan Athey
Federated Causal Inference in Heterogeneous Observational Data. CoRR (2021)
Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits. KDD (2021)
Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey
Adapting to misspecification in contextual bandits with offline regression oracles. ICML (2021)
Rina Friedberg, Julie Tibshirani, Susan Athey, Stefan Wager
Local Linear Forests. J. Comput. Graph. Stat. 30 (2) (2021)
Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits. CoRR (2021)
Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
Stable Prediction with Model Misspecification and Agnostic Distribution Shift. CoRR (2020)
Erik Sverdrup, Ayush Kanodia, Zhengyuan Zhou, Susan Athey, Stefan Wager
policytree: Policy learning via doubly robust empirical welfare maximization over trees. J. Open Source Softw. 5 (55) (2020)
Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey
Tractable contextual bandits beyond realizability. CoRR (2020)
Ittai Abraham, Susan Athey, Moshe Babaioff, Michael Grubb
Peaches, lemons, and cookies: Designing auction markets with dispersed information. Games Econ. Behav. 124 (2020)
Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
Stable Prediction with Model Misspecification and Agnostic Distribution Shift. AAAI (2020)
Sanath Kumar Krishnamurthy, Susan Athey
Survey Bandits with Regret Guarantees. CoRR (2020)
Jonathan Johannemann, Vitor Hadad, Susan Athey, Stefan Wager
Sufficient Representations for Categorical Variables. CoRR (2019)
Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens
Balanced Linear Contextual Bandits. AAAI (2019)
Robert Donnelly, Francisco J. R. Ruiz, David M. Blei, Susan Athey
Counterfactual Inference for Consumer Choice Across Many Product Categories. CoRR (2019)
Vitor Hadad, David A. Hirshberg, Ruohan Zhan, Stefan Wager, Susan Athey
Confidence Intervals for Policy Evaluation in Adaptive Experiments. CoRR (2019)
Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
Stable Prediction across Unknown Environments. CoRR (2018)
Kun Kuang, Peng Cui, Susan Athey, Ruoxuan Xiong, Bo Li
Stable Prediction across Unknown Environments. KDD (2018)
Zhengyuan Zhou, Susan Athey, Stefan Wager
Offline Multi-Action Policy Learning: Generalization and Optimization. CoRR (2018)
Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens
Balanced Linear Contextual Bandits. CoRR (2018)
Susan Athey, Emilio Calvano, Joshua S. Gans
The Impact of Consumer Multi-homing on Advertising Markets and Media Competition. Manag. Sci. 64 (4) (2018)
Rina Friedberg, Julie Tibshirani, Susan Athey, Stefan Wager
Local Linear Forests. CoRR (2018)
Susan Athey, Guido Imbens
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption. CoRR (2018)
Zhengyuan Zhou, Panayotis Mertikopoulos, Susan Athey, Nicholas Bambos, Peter W. Glynn, Yinyu Ye
Learning in Games with Lossy Feedback. NeurIPS (2018)
Susan Athey, David M. Blei, Robert Donnelly, Francisco J. R. Ruiz, Tobias Schmidt
Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data. CoRR (2018)
Francisco J. R. Ruiz, Susan Athey, David M. Blei
SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements. CoRR (2017)
Li-Ping Liu, Francisco J. R. Ruiz, Susan Athey, David M. Blei
Context Selection for Embedding Models. NIPS (2017)
Maria Dimakopoulou, Susan Athey, Guido Imbens
Estimation Considerations in Contextual Bandits. CoRR (2017)
Maja Rudolph, Francisco J. R. Ruiz, Susan Athey, David M. Blei
Structured Embedding Models for Grouped Data. CoRR (2017)
Maja Rudolph, Francisco J. R. Ruiz, Susan Athey, David M. Blei
Structured Embedding Models for Grouped Data. NIPS (2017)
Susan Athey, Stefan Wager
Efficient Policy Learning. CoRR (2017)
Susan Athey
Machine Learning and Causal Inference for Policy Evaluation. KDD (2015)
Ittai Abraham, Susan Athey, Moshe Babaioff, Michael Grubb
Peaches, lemons, and cookies: designing auction markets with dispersed information. EC (2013)
Susan Athey
Use of the World Wide Web by the Portuguese Accommodation Industry. J. Inf. Technol. Tour. 13 (3) (2011)
Susan Athey
Designing markets: economics, computer science and the real world. TARK (2009)
Julie Tomlin, John A. Hoxmeier, Susan Athey
Programming Standards for the Information Systems Curriculum. AMCIS (2007)
Susan Athey, John Plotnicki
An Evaluation of Research Productivity in Academic IT. Commun. Assoc. Inf. Syst. 3 (2000)
Susan Athey, John A. Hoxmeier
Where have all the women gone? IRMA Conference (2000)
Susan Athey
A Comparison of the Fortune 500 and AACSB Accredited Universities' Software Copying Policies. J. Inf. Syst. Educ. 2 (4) (1990)