| 2023 | Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition. | Sebastian Gruber, Florian Buettner |
| 2022 | Online Competitive Influence Maximization. | Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen |
| 2022 | Pareto Optimal Model Selection in Linear Bandits. | Yinglun Zhu, Robert D. Nowak |
| 2022 | Adversarially Robust Kernel Smoothing. | Jia-Jie Zhu, Christina Kouridi, Yassine Nemmour, Bernhard Schlkopf |
| 2022 | Near Instance Optimal Model Selection for Pure Exploration Linear Bandits. | Yinglun Zhu, Julian Katz-Samuels, Robert D. Nowak |
| 2022 | Random Effect Bandits. | Rong Zhu, Branislav Kveton |
| 2022 | Safe Optimal Design with Applications in Off-Policy Learning. | Ruihao Zhu, Branislav Kveton |
| 2022 | Sketch-and-lift: scalable subsampled semidefinite program for K-means clustering. | Yubo Zhuang, Xiaohui Chen, Yun Yang |
| 2022 | Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums. | Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng |
| 2022 | Rapid Convergence of Informed Importance Tempering. | Quan Zhou, Aaron Smith |
| 2022 | Iterative Alignment Flows. | Zeyu Zhou, Ziyu Gong, Pradeep Ravikumar, David I. Inouye |
| 2022 | Online Continual Adaptation with Active Self-Training. | Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu |
| 2022 | Approximate Top-m Arm Identification with Heterogeneous Reward Variances. | Ruida Zhou, Chao Tian |
| 2022 | Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding. | Jiajing Zheng, Alexander D'Amour, Alexander Franks |
| 2022 | Dual-Level Adaptive Information Filtering for Interactive Image Segmentation. | Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake |
| 2022 | Learning Interpretable, Tree-Based Projection Mappings for Nonlinear Embeddings. | Arman Serikuly Zharmagambetov, Miguel . Carreira-Perpin |
| 2022 | Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games. | Yulai Zhao, Yuandong Tian, Jason D. Lee, Simon S. Du |
| 2022 | A Manifold View of Adversarial Risk. | Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas |
| 2022 | Cycle Consistent Probability Divergences Across Different Spaces. | Zhengxin Zhang, Youssef Mroueh, Ziv Goldfeld, Bharath K. Sriperumbudur |
| 2022 | Corruption-robust Offline Reinforcement Learning. | Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun |
| 2022 | Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects. | Yao Zhang, Jeroen Berrevoets, Mihaela van der Schaar |
| 2022 | A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality. | Xuhui Zhang, Jos H. Blanchet, Soumyadip Ghosh, Mark S. Squillante |
| 2022 | Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization. | Guodong Zhang, Yuanhao Wang, Laurent Lessard, Roger B. Grosse |
| 2022 | Efficient Kernelized UCB for Contextual Bandits. | Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard |
| 2022 | Identification in Tree-shaped Linear Structural Causal Models. | Benito van der Zander, Marcel Wienbst, Markus Blser, Maciej Liskiewicz |