| 2025 | AISTATS | Robust Offline Policy Learning with Observational Data from Multiple Sources. | Aldo Gael Carranza, Susan Athey |
| 2024 | AISTATS | Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective. | Sanath Kumar Krishnamurthy, Adrienne Margaret Propp, Susan Athey |
| 2023 | AISTATS | Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles. | Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey |
| 2021 | AISTATS | Tractable contextual bandits beyond realizability. | Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey |
| 2021 | ICML | Adapting to misspecification in contextual bandits with offline regression oracles. | Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey |
| 2021 | KDD | Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits. | Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey |
| 2020 | AAAI | Stable Prediction with Model Misspecification and Agnostic Distribution Shift. | Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li |
| 2019 | AAAI | Balanced Linear Contextual Bandits. | Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens |
| 2018 | KDD | Stable Prediction across Unknown Environments. | Kun Kuang, Peng Cui, Susan Athey, Ruoxuan Xiong, Bo Li |
| 2015 | KDD | Machine Learning and Causal Inference for Policy Evaluation. | Susan Athey |
| 2009 | TARK | Designing markets: economics, computer science and the real world. | Susan Athey |