| 2021 | Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features. | Shingo Yashima, Atsushi Nitanda, Taiji Suzuki |
| 2021 | Q-learning with Logarithmic Regret. | Kunhe Yang, Lin F. Yang, Simon S. Du |
| 2021 | Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss. | Zhenhuan Yang, Yunwen Lei, Siwei Lyu, Yiming Ying |
| 2021 | TenIPS: Inverse Propensity Sampling for Tensor Completion. | Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell |
| 2021 | Fully Gap-Dependent Bounds for Multinomial Logit Bandit. | Jiaqi Yang |
| 2021 | Understanding Robustness in Teacher-Student Setting: A New Perspective. | Zhuolin Yang, Zhaoxi Chen, Tiffany Cai, Xinyun Chen, Bo Li, Yuandong Tian |
| 2021 | Faster Kernel Interpolation for Gaussian Processes. | Mohit Yadav, Daniel Sheldon, Cameron Musco |
| 2021 | Optimal query complexity for private sequential learning against eavesdropping. | Jiaming Xu, Kuang Xu, Dana Yang |
| 2021 | A Stein Goodness-of-test for Exponential Random Graph Models. | Wenkai Xu, Gesine Reinert |
| 2021 | Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns. | Ziping Xu, Amirhossein Meisami, Ambuj Tewari |
| 2021 | Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms. | Tengyu Xu, Yingbin Liang |
| 2021 | Couplings for Multinomial Hamiltonian Monte Carlo. | Kai Xu, Tor Erlend Fjelde, Charles Sutton, Hong Ge |
| 2021 | DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks. | Shiyun Xu, Zhiqi Bu |
| 2021 | Learning Matching Representations for Individualized Organ Transplantation Allocation. | Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar |
| 2021 | Meta Learning in the Continuous Time Limit. | Ruitu Xu, Lin Chen, Amin Karbasi |
| 2021 | On the Faster Alternating Least-Squares for CCA. | Zhiqiang Xu, Ping Li |
| 2021 | Adversarially Robust Estimate and Risk Analysis in Linear Regression. | Yue Xing, Ruizhi Zhang, Guang Cheng |
| 2021 | On the Generalization Properties of Adversarial Training. | Yue Xing, Qifan Song, Guang Cheng |
| 2021 | Predictive Power of Nearest Neighbors Algorithm under Random Perturbation. | Yue Xing, Qifan Song, Guang Cheng |
| 2021 | Understanding the wiring evolution in differentiable neural architecture search. | Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin |
| 2021 | Semi-Supervised Learning with Meta-Gradient. | Taihong Xiao, Xin-Yu Zhang, Hao-Lin Jia, Ming-Ming Cheng, Ming-Hsuan Yang |
| 2021 | Online probabilistic label trees. | Marek Wydmuch, Kalina Jasinska-Kobus, Devanathan Thiruvenkatachari, Krzysztof Dembczynski |
| 2021 | Prediction with Finitely many Errors Almost Surely. | Changlong Wu, Narayana Santhanam |
| 2021 | Hadamard Wirtinger Flow for Sparse Phase Retrieval. | Fan Wu, Patrick Rebeschini |
| 2021 | Hierarchical Inducing Point Gaussian Process for Inter-domian Observations. | Luhuan Wu, Andrew Miller, Lauren Anderson, Geoff Pleiss, David M. Blei, John P. Cunningham |