Susan Athey - RankMe

65 papers A* 9A 4B 1Journal 47Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Identification of Average Treatment Effects in Nonparametric Panel Models. CoRR Susan Athey, Guido Imbens
2025	J	`jnl`	Qini Curves for Multi-Armed Treatment Rules. J. Comput. Graph. Stat. Erik Sverdrup, Han Wu, Susan Athey, Stefan Wager
2025	A	`conf`	Robust Offline Policy Learning with Observational Data from Multiple Sources. AISTATS Aldo Gael Carranza, Susan Athey
2024	J	`jnl`	CAREER: A Foundation Model for Labor Sequence Data. Trans. Mach. Learn. Res. Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David M. Blei
2024	J	`jnl`	Data-driven Error Estimation: Upper Bounding Multiple Errors with No Technical Debt. CoRR Sanath Kumar Krishnamurthy, Susan Athey, Emma Brunskill
2024	J	`jnl`	Estimating Wage Disparities Using Foundation Models. CoRR Keyon Vafa, Susan Athey, David M. Blei
2024	J	`jnl`	LABOR-LLM: Language-Based Occupational Representations with Large Language Models. CoRR Tianyu Du, Ayush Kanodia, Herman Brunborg, Keyon Vafa, Susan Athey
2024	J	`jnl`	Optimal Experimental Design for Staggered Rollouts. Manag. Sci. Ruoxuan Xiong, Susan Athey, Mohsen Bayati, Guido Imbens
2024	J	`jnl`	Policy Learning with Adaptively Collected Data. Manag. Sci. Ruohan Zhan, Zhimei Ren, Susan Athey, Zhengyuan Zhou
2024	J	`jnl`	Robust Offline Policy Learning with Observational Data from Multiple Sources. CoRR Aldo Gael Carranza, Susan Athey
2024	A	`conf`	Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective. AISTATS Sanath Kumar Krishnamurthy, Adrienne Margaret Propp, Susan Athey
2023	J	`jnl`	Federated Offline Policy Learning with Heterogeneous Observational Data. CoRR Aldo Gael Carranza, Susan Athey
2023	A	`conf`	Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles. AISTATS Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey
2023	J	`jnl`	Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal. CoRR Susan Athey, Niall Keleher, Jann Spiess
2023	J	`jnl`	Offline Multi-Action Policy Learning: Generalization and Optimization. Oper. Res. Zhengyuan Zhou, Susan Athey, Stefan Wager
2023	A*	`conf`	Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization. NeurIPS Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill
2023	J	`jnl`	Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization. CoRR Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill
2023	J	`jnl`	Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python. CoRR Tianyu Du, Ayush Kanodia, Susan Athey
2022	J	`jnl`	Battling the Coronavirus 'Infodemic' Among Social Media Users in Africa. CoRR Molly Offer-Westort, Leah R. Rosenzweig, Susan Athey
2022	J	`jnl`	Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning. CoRR Susan Athey, Undral Byambadalai, Vitor Hadad, Sanath Kumar Krishnamurthy, Weiwen Leung, Joseph Jay Williams
2022	J	`jnl`	Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracle. CoRR Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey
2022	J	`jnl`	Learning Transferrable Representations of Career Trajectories for Economic Prediction. CoRR Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David M. Blei
2022	J	`jnl`	Stable learning establishes some common ground between causal inference and machine learning. Nat. Mach. Intell. Peng Cui, Susan Athey
2021	A*	`conf`	Adapting to misspecification in contextual bandits with offline regression oracles. ICML Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey
2021	J	`jnl`	Adapting to misspecification in contextual bandits with offline regression oracles. CoRR Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey
2021	J	`jnl`	Federated Causal Inference in Heterogeneous Observational Data. CoRR Ruoxuan Xiong, Allison Koenecke, Michael A. Powell, Zhu Shen, Joshua T. Vogelstein, Susan Athey
2021	J	`jnl`	Local Linear Forests. J. Comput. Graph. Stat. Rina Friedberg, Julie Tibshirani, Susan Athey, Stefan Wager
2021	A*	`conf`	Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits. KDD Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey
2021	J	`jnl`	Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits. CoRR Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey
2021	J	`jnl`	Optimal Model Selection in Contextual Bandits with Many Classes via Offline Oracles. CoRR Sanath Kumar Krishnamurthy, Susan Athey
2021	J	`jnl`	Policy Learning with Adaptively Collected Data. CoRR Ruohan Zhan, Zhimei Ren, Susan Athey, Zhengyuan Zhou
2021	A	`conf`	Tractable contextual bandits beyond realizability. AISTATS Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey
2020	J	`jnl`	Peaches, lemons, and cookies: Designing auction markets with dispersed information. Games Econ. Behav. Ittai Abraham, Susan Athey, Moshe Babaioff, Michael Grubb
2020	A*	`conf`	Stable Prediction with Model Misspecification and Agnostic Distribution Shift. AAAI Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
2020	J	`jnl`	Stable Prediction with Model Misspecification and Agnostic Distribution Shift. CoRR Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
2020	J	`jnl`	Survey Bandits with Regret Guarantees. CoRR Sanath Kumar Krishnamurthy, Susan Athey
2020	J	`jnl`	Tractable contextual bandits beyond realizability. CoRR Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey
2020	J	`jnl`	policytree: Policy learning via doubly robust empirical welfare maximization over trees. J. Open Source Softw. Erik Sverdrup, Ayush Kanodia, Zhengyuan Zhou, Susan Athey, Stefan Wager
2019	A*	`conf`	Balanced Linear Contextual Bandits. AAAI Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens
2019	J	`jnl`	Confidence Intervals for Policy Evaluation in Adaptive Experiments. CoRR Vitor Hadad, David A. Hirshberg, Ruohan Zhan, Stefan Wager, Susan Athey
2019	J	`jnl`	Counterfactual Inference for Consumer Choice Across Many Product Categories. CoRR Robert Donnelly, Francisco J. R. Ruiz, David M. Blei, Susan Athey
2019	J	`jnl`	Sufficient Representations for Categorical Variables. CoRR Jonathan Johannemann, Vitor Hadad, Susan Athey, Stefan Wager
2018	J	`jnl`	Balanced Linear Contextual Bandits. CoRR Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens
2018	J	`jnl`	Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption. CoRR Susan Athey, Guido Imbens
2018	J	`jnl`	Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data. CoRR Susan Athey, David M. Blei, Robert Donnelly, Francisco J. R. Ruiz, Tobias Schmidt
2018	A*	`conf`	Learning in Games with Lossy Feedback. NeurIPS Zhengyuan Zhou, Panayotis Mertikopoulos, Susan Athey, Nicholas Bambos, Peter W. Glynn, Yinyu Ye
2018	J	`jnl`	Local Linear Forests. CoRR Rina Friedberg, Julie Tibshirani, Susan Athey, Stefan Wager
2018	J	`jnl`	Offline Multi-Action Policy Learning: Generalization and Optimization. CoRR Zhengyuan Zhou, Susan Athey, Stefan Wager
2018	A*	`conf`	Stable Prediction across Unknown Environments. KDD Kun Kuang, Peng Cui, Susan Athey, Ruoxuan Xiong, Bo Li
2018	J	`jnl`	Stable Prediction across Unknown Environments. CoRR Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
2018	J	`jnl`	The Impact of Consumer Multi-homing on Advertising Markets and Media Competition. Manag. Sci. Susan Athey, Emilio Calvano, Joshua S. Gans
2017	—	`conf`	Context Selection for Embedding Models. NIPS Li-Ping Liu, Francisco J. R. Ruiz, Susan Athey, David M. Blei
2017	J	`jnl`	Efficient Policy Learning. CoRR Susan Athey, Stefan Wager
2017	J	`jnl`	Estimation Considerations in Contextual Bandits. CoRR Maria Dimakopoulou, Susan Athey, Guido Imbens
2017	J	`jnl`	SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements. CoRR Francisco J. R. Ruiz, Susan Athey, David M. Blei
2017	—	`conf`	Structured Embedding Models for Grouped Data. NIPS Maja Rudolph, Francisco J. R. Ruiz, Susan Athey, David M. Blei
2017	J	`jnl`	Structured Embedding Models for Grouped Data. CoRR Maja Rudolph, Francisco J. R. Ruiz, Susan Athey, David M. Blei
2015	A*	`conf`	Machine Learning and Causal Inference for Policy Evaluation. KDD Susan Athey
2013	A*	`conf`	Peaches, lemons, and cookies: designing auction markets with dispersed information. EC Ittai Abraham, Susan Athey, Moshe Babaioff, Michael Grubb
2011	J	`jnl`	Use of the World Wide Web by the Portuguese Accommodation Industry. J. Inf. Technol. Tour. Susan Athey
2009	B	`conf`	Designing markets: economics, computer science and the real world. TARK Susan Athey
2007	—	`conf`	Programming Standards for the Information Systems Curriculum. AMCIS Julie Tomlin, John A. Hoxmeier, Susan Athey
2000	J	`jnl`	An Evaluation of Research Productivity in Academic IT. Commun. Assoc. Inf. Syst. Susan Athey, John Plotnicki
2000	—	`conf`	Where have all the women gone? IRMA Conference Susan Athey, John A. Hoxmeier
1990	J	`jnl`	A Comparison of the Fortune 500 and AACSB Accredited Universities' Software Copying Policies. J. Inf. Syst. Educ. Susan Athey