| 2021 | Principal Subspace Estimation Under Information Diffusion. | Fan Zhou, Ping Li, Zhixin Zhou |
| 2021 | Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning. | Zhengqing Zhou, Qinxun Bai, Zhengyuan Zhou, Linhai Qiu, Jose H. Blanchet, Peter W. Glynn |
| 2021 | Federated f-Differential Privacy. | Qinqing Zheng, Shuxiao Chen, Qi Long, Weijie J. Su |
| 2021 | Active Learning under Label Shift. | Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue |
| 2021 | Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration. | Shengjia Zhao, Stefano Ermon |
| 2021 | Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty. | Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian |
| 2021 | Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case. | Yufeng Zhang, Zhuoran Yang, Zhaoran Wang |
| 2021 | On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. | Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, Andr Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra |
| 2021 | Detection and Defense of Topological Adversarial Attacks on Graphs. | Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates |
| 2021 | Provable Hierarchical Imitation Learning via EM. | Zhiyu Zhang, Ioannis Ch. Paschalidis |
| 2021 | Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization. | Peiyuan Zhang, Antonio Orvieto, Hadi Daneshmand, Thomas Hofmann, Roy S. Smith |
| 2021 | Product Manifold Learning. | Sharon Zhang, Amit Moscovich, Amit Singer |
| 2021 | Meta-Learning Divergences for Variational Inference. | Ruqi Zhang, Yingzhen Li, Christopher De Sa, Sam Devlin, Cheng Zhang |
| 2021 | Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective. | Jacky Zhang, Rajiv Khanna, Anastasios Kyrillidis, Sanmi Koyejo |
| 2021 | Generalization Bounds for Stochastic Saddle Point Problems. | Junyu Zhang, Mingyi Hong, Mengdi Wang, Shuzhong Zhang |
| 2021 | Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model. | Libby Zhang, Tim Dunn, Jesse Marshall, Bence Olveczky, Scott W. Linderman |
| 2021 | Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples. | Yixing Zhang, Xiuyuan Cheng, Galen Reeves |
| 2021 | Exploiting Equality Constraints in Causal Inference. | Chi Zhang, Carlos Cinelli, Bryant Chen, Judea Pearl |
| 2021 | Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension. | Yiliang Zhang, Zhiqi Bu |
| 2021 | On the Suboptimality of Negative Momentum for Minimax Optimization. | Guodong Zhang, Yuanhao Wang |
| 2021 | False Discovery Rates in Biological Networks. | Lu Yu, Tobias Kaufmann, Johannes Lederer |
| 2021 | Stability and Risk Bounds of Iterative Hard Thresholding. | Xiaotong Yuan, Ping Li |
| 2021 | Minimax Estimation of Laplacian Constrained Precision Matrices. | Jiaxi Ying, Jos Vincius de Miranda Cardoso, Daniel P. Palomar |
| 2021 | Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning. | Ming Yin, Yu Bai, Yu-Xiang Wang |
| 2021 | Deep Spectral Ranking. | Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis |