Athey, Susan

13 publications

AISTATS 2025 Robust Offline Policy Learning with Observational Data from Multiple Sources Aldo Gael Carranza, Susan Athey

TMLR 2024 CAREER: A Foundation Model for Labor Sequence Data Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David Blei

AISTATS 2024 Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective Sanath Kumar Krishnamurthy, Adrienne M Propp, Susan Athey

AISTATS 2023 Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey

NeurIPS 2023 Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill

NeurIPSW 2022 CAREER: Economic Prediction of Labor Sequence Data Under Distribution Shift Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David Blei

AISTATS 2021 Tractable Contextual Bandits Beyond Realizability Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey

ICML 2021 Adapting to Misspecification in Contextual Bandits with Offline Regression Oracles Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey

AAAI 2020 Stable Prediction with Model Misspecification and Agnostic Distribution Shift Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li

AAAI 2019 Balanced Linear Contextual Bandits Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens

NeurIPS 2018 Learning in Games with Lossy Feedback Zhengyuan Zhou, Panayotis Mertikopoulos, Susan Athey, Nicholas Bambos, Peter W. Glynn, Yinyu Ye

NeurIPS 2017 Context Selection for Embedding Models Liping Liu, Francisco Ruiz, Susan Athey, David Blei

NeurIPS 2017 Structured Embedding Models for Grouped Data Maja Rudolph, Francisco Ruiz, Susan Athey, David Blei