| 2024 | AISTATS | Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits. | Lequn Wang, Akshay Krishnamurthy, Alex Slivkins |
| 2024 | WWW | Off-Policy Evaluation for Large Action Spaces via Policy Convolution. | Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley |
| 2023 | ICML | Improving Expert Predictions with Conformal Prediction. | Eleni Straitouri, Lequn Wang, Nastaran Okati, Manuel Gomez Rodriguez |
| 2023 | WSDM | Uncertainty Quantification for Fairness in Two-Stage Recommender Systems. | Lequn Wang, Thorsten Joachims |
| 2022 | ICML | Improving Screening Processes via Calibrated Subset Selection. | Lequn Wang, Thorsten Joachims, Manuel Gomez Rodriguez |
| 2021 | ICML | Fairness of Exposure in Stochastic Bandits. | Lequn Wang, Yiwei Bai, Wen Sun, Thorsten Joachims |
| 2021 | ICTIR | User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets. | Lequn Wang, Thorsten Joachims |
| 2019 | ICML | CAB: Continuous Adaptive Blending for Policy Evaluation and Learning. | Yi Su, Lequn Wang, Michele Santacatterina, Thorsten Joachims |
| 2018 | CVPR | Resource Aware Person Re-Identification Across Multiple Resolutions. | Yan Wang, Lequn Wang, Yurong You, Xu Zou, Vincent Chen, Serena Li, Gao Huang, Bharath Hariharan, Kilian Q. Weinberger |