| 2026 | ISIT | Best-Arm Identification with Noisy Actuation. | Merve Karakas, Osama A. Hanna, Lin F. Yang, Christina Fragouli |
| 2025 | ISIT | Does Feedback Help in Bandits with Arm Erasures? | Merve Karakas, Osama A. Hanna, Lin F. Yang, Christina Fragouli |
| 2024 | IJCNN | Delayed MDPs with Feature Mapping. | Jialin Dong, Jiayi Wang, Lin F. Yang |
| 2023 | ISIT | Multi-Arm Bandits over Action Erasure Channels. | Osama A. Hanna, Merve Karakas, Lin F. Yang, Christina Fragouli |
| 2022 | CISS | Doubly Pessimistic Algorithms for Strictly Safe Off-Policy Optimization. | Sanae Amani, Lin F. Yang |
| 2021 | AAAI | Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation. | Junhong Shen, Lin F. Yang |
| 2021 | AISTATS | Q-learning with Logarithmic Regret. | Kunhe Yang, Lin F. Yang, Simon S. Du |
| 2021 | FOCS | Settling the Horizon-Dependence of Sample Complexity in Reinforcement Learning. | Yuanzhi Li, Ruosong Wang, Lin F. Yang |
| 2021 | KDD | Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs. | Jialin Dong, Da Zheng, Lin F. Yang, George Karypis |
| 2021 | UAI | Minimax sample complexity for turn-based stochastic game. | Qiwen Cui, Lin F. Yang |
| 2020 | COLT | Model-Based Reinforcement Learning with a Generative Model is Minimax Optimal. | Alekh Agarwal, Sham M. Kakade, Lin F. Yang |
| 2020 | ICLR | Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning? | Simon S. Du, Sham M. Kakade, Ruosong Wang, Lin F. Yang |
| 2019 | AISTATS | Towards a Theoretical Understanding of Hashing-Based Neural Nets. | Yibo Lin, Zhao Song, Lin F. Yang |
| 2019 | UAI | Online Factorization and Partition of Complex Networks by Random Walk. | Lin F. Yang, Zheng Yu, Vladimir Braverman, Tuo Zhao, Mengdi Wang |
| 2018 | ICALP | Approximate Convex Hull of Data Streams. | Avrim Blum, Vladimir Braverman, Ananya Kumar, Harry Lang, Lin F. Yang |
| 2018 | ICALP | Revisiting Frequency Moment Estimation in Random Order Streams. | Vladimir Braverman, Emanuele Viola, David P. Woodruff, Lin F. Yang |
| 2018 | ICML | Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order. | Vladimir Braverman, Stephen R. Chestnut, Robert Krauthgamer, Yi Li, David P. Woodruff, Lin F. Yang |
| 2017 | ICML | Clustering High Dimensional Dynamic Data Streams. | Vladimir Braverman, Gereon Frahling, Harry Lang, Christian Sohler, Lin F. Yang |
| 2017 | ICML | Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability. | Zhehui Chen, Lin F. Yang, Chris Junchi Li, Tuo Zhao |
| 2017 | STOC | Streaming symmetric norms via measure concentration. | Jaroslaw Blasiok, Vladimir Braverman, Stephen R. Chestnut, Robert Krauthgamer, Lin F. Yang |
| 2016 | PODS | Streaming Space Complexity of Nearly All Functions of One Variable on Frequency Vectors. | Vladimir Braverman, Stephen R. Chestnut, David P. Woodruff, Lin F. Yang |
| 2015 | MFCS | New Bounds for the CLIQUE-GAP Problem Using Graph Decomposition Theory. | Vladimir Braverman, Zaoxing Liu, Tejasvam Singh, N. V. Vinodchandran, Lin F. Yang |