| 2023 | Doubly Fair Dynamic Pricing. | Jianyu Xu, Dan Qiao, Yu-Xiang Wang |
| 2023 | Strong Lottery Ticket Hypothesis with ε-perturbation. | Zheyang Xiong, Fangshuo Liao, Anastasios Kyrillidis |
| 2023 | Indeterminacy in Generative Models: Characterization and Strong Identifiability. | Quanhan Xi, Benjamin Bloem-Reddy |
| 2023 | Krylov-Bellman boosting: Super-linear policy evaluation in general state spaces. | Eric Xia, Martin J. Wainwright |
| 2023 | Alternating Projected SGD for Equality-constrained Bilevel Optimization. | Quan Xiao, Han Shen, Wotao Yin, Tianyi Chen |
| 2023 | Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation. | Yue Xiang, Dongyao Zhu, Bowen Lei, Dongkuan Xu, Ruqi Zhang |
| 2023 | Implicit Graphon Neural Representation. | Xinyue Xia, Gal Mishne, Yusu Wang |
| 2023 | Does Label Differential Privacy Prevent Label Inference Attacks? | Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo |
| 2023 | Score-based Quickest Change Detection for Unnormalized Models. | Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh |
| 2023 | Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks. | Shelvia Wongso, Rohan Ghosh, Mehul Motani |
| 2023 | Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes. | Elias Samuel Wirth, Thomas Kerdreux, Sebastian Pokutta |
| 2023 | On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation. | Anna Winnicki, R. Srikant |
| 2023 | Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data. | Frederiek Wesel, Kim Batselier |
| 2023 | Mean Parity Fair Regression in RKHS. | Shaokui Wei, Jiayin Liu, Bing Li, Hongyuan Zha |
| 2023 | Provably Efficient Model-Free Algorithms for Non-stationary CMDPs. | Honghao Wei, Arnob Ghosh, Ness B. Shroff, Lei Ying, Xingyu Zhou |
| 2023 | Convex Bounds on the Softmax Function with Applications to Robustness Verification. | Dennis Wei, Haoze Wu, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi |
| 2023 | Adversarial Random Forests for Density Estimation and Generative Modeling. | David S. Watson, Kristin Blesch, Jan Kapar, Marvin N. Wright |
| 2023 | Uncertainty-aware Unsupervised Video Hashing. | Yucheng Wang, Mingyuan Zhou, Yu Sun, Xiaoning Qian |
| 2023 | Differentially Private Matrix Completion through Low-rank Matrix Factorization. | Lingxiao Wang, Boxin Zhao, Mladen Kolar |
| 2023 | Overparameterized Random Feature Regression with Nearly Orthogonal Data. | Zhichao Wang, Yizhe Zhu |
| 2023 | A Finite Sample Complexity Bound for Distributionally Robust Q-learning. | Shengbo Wang, Nian Si, Jos H. Blanchet, Zhengyuan Zhou |
| 2023 | Huber-robust confidence sequences. | Hongjian Wang, Aaditya Ramdas |
| 2023 | Reconstructing Training Data from Model Gradient, Provably. | Zihan Wang, Jason Lee, Qi Lei |
| 2023 | Scalable Spectral Clustering with Group Fairness Constraints. | Ji Wang, Ding Lu, Ian Davidson, Zhaojun Bai |
| 2023 | A Targeted Accuracy Diagnostic for Variational Approximations. | Yu Wang, Mikolaj J. Kasprzak, Jonathan H. Huggins |