| 2023 | Semi-Verified PAC Learning from the Crowd. | Shiwei Zeng, Jie Shen |
| 2023 | Bayesian Strategy-Proof Facility Location via Robust Estimation. | Emmanouil Zampetakis, Fred Zhang |
| 2023 | Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path. | Muhammad Aneeq uz Zaman, Alec Koppel, Sujay Bhatt, Tamer Basar |
| 2023 | Optimal Sample Complexity Bounds for Non-convex Optimization under Kurdyka-Lojasiewicz Condition. | Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee |
| 2023 | Sample Complexity of Kernel-Based Q-Learning. | Sing-Yuan Yeh, Fu-Chieh Chang, Chang-Wei Yueh, Pei-Yuan Wu, Alberto Bernacchia, Sattar Vakili |
| 2023 | Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise. | Haotian Ye, James Zou, Linjun Zhang |
| 2023 | Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints. | Yao Yao, Qihang Lin, Tianbao Yang |
| 2023 | Error Estimation for Random Fourier Features. | Junwen Yao, N. Benjamin Erichson, Miles E. Lopes |
| 2023 | Online Linearized LASSO. | Shuoguang Yang, Yuhao Yan, Xiuneng Zhu, Qiang Sun |
| 2023 | On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks. | Hongru Yang, Zhangyang Wang |
| 2023 | Distributionally Robust Policy Gradient for Offline Contextual Bandits. | Zhouhao Yang, Yihong Guo, Pan Xu, Anqi Liu, Animashree Anandkumar |
| 2023 | Bayesian Structure Scores for Probabilistic Circuits. | Yang Yang, Gennaro Gala, Robert Peharz |
| 2023 | Sample Efficiency of Data Augmentation Consistency Regularization. | Shuo Yang, Yijun Dong, Rachel A. Ward, Inderjit S. Dhillon, Sujay Sanghavi, Qi Lei |
| 2023 | Reinforcement Learning for Adaptive Mesh Refinement. | Jiachen Yang, Tarik Dzanic, Brenden K. Petersen, Jun Kudo, Ketan Mittal, Vladimir Z. Tomov, Jean-Sylvain Camier, Tuo Zhao, Hongyuan Zha, Tzanio V. Kolev, Robert W. Anderson, Daniel M. Faissol |
| 2023 | Learning to Generalize Provably in Learning to Optimize. | Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang |
| 2023 | Learning While Scheduling in Multi-Server Systems With Unknown Statistics: MaxWeight with Discounted UCB. | Zixian Yang, R. Srikant, Lei Ying |
| 2023 | Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality. | Ikko Yamane, Yann Chevaleyre, Takashi Ishida, Florian Yger |
| 2023 | FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery. | Xinyi Xu, Zhaoxuan Wu, Arun Verma, Chuan Sheng Foo, Bryan Kian Hsiang Low |
| 2023 | Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning. | Zaiyan Xu, Kishan Panaganti, Dileep Kalathil |
| 2023 | Uniformly Conservative Exploration in Reinforcement Learning. | Wanqiao Xu, Yecheng Jason Ma, Kan Xu, Hamsa Bastani, Osbert Bastani |
| 2023 | Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization. | Ziqing Xu, Hancheng Min, Salma Tarmoun, Enrique Mallada, Ren Vidal |
| 2023 | Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning. | Ruitu Xu, Yifei Min, Tianhao Wang, Michael I. Jordan, Zhaoran Wang, Zhuoran Yang |
| 2023 | Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. | Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao |
| 2023 | On the Accelerated Noise-Tolerant Power Method. | Zhiqiang Xu |
| 2023 | A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space. | Zhaozhuo Xu, Zhao Song, Anshumali Shrivastava |