| 2022 | Deep Layer-wise Networks Have Closed-Form Weights. | Chieh Tzu Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy |
| 2022 | Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons. | Yue Wu, Tao Jin, Hao Lou, Pan Xu, Farzad Farnoud, Quanquan Gu |
| 2022 | Gap-Dependent Unsupervised Exploration for Reinforcement Learning. | Jingfeng Wu, Vladimir Braverman, Lin Yang |
| 2022 | Learning a Single Neuron for Non-monotonic Activation Functions. | Lei Wu |
| 2022 | Bias-Variance Decompositions for Margin Losses. | Danny Wood, Tingting Mu, Gavin Brown |
| 2022 | Conditional Gradients for the Approximately Vanishing Ideal. | Elias Samuel Wirth, Sebastian Pokutta |
| 2022 | Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution. | Vlad Winter, Or Dinari, Oren Freifeld |
| 2022 | Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models. | Eli N. Weinstein, Alan Nawzad Amin, Will S. Grathwohl, Daniel Kassler, Jean Disset, Debora S. Marks |
| 2022 | Moment Matching Deep Contrastive Latent Variable Models. | Ethan Weinberger, Nicasia Beebe-Wang, Su-In Lee |
| 2022 | Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation. | Honghao Wei, Xin Liu, Lei Ying |
| 2022 | Physics Informed Deep Kernel Learning. | Zheng Wang, Wei W. Xing, Robert M. Kirby, Shandian Zhe |
| 2022 | On a Connection Between Fast and Sparse Oblivious Subspace Embeddings. | Rui Wang, Wangli Xu |
| 2022 | Exact Community Recovery over Signed Graphs. | Xiaolu Wang, Peng Wang, Anthony Man-Cho So |
| 2022 | Best Arm Identification with Safety Constraints. | Zhenlin Wang, Andrew J. Wagenmaker, Kevin Jamieson |
| 2022 | Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients. | Fan Wang, Oscar Hernan Madrid Padilla, Yi Yu, Alessandro Rinaldo |
| 2022 | Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization. | Yujia Wang, Lu Lin, Jinghui Chen |
| 2022 | The Tree Loss: Improving Generalization with Many Classes. | Yujie Wang, Mike Izbicki |
| 2022 | Two-Sample Test with Kernel Projected Wasserstein Distance. | Jie Wang, Rui Gao, Yao Xie |
| 2022 | Tight bounds for minimum ℓ | Guillaume Wang, Konstantin Donhauser, Fanny Yang |
| 2022 | Structured variational inference in Bayesian state-space models. | Honggang Wang, Anirban Bhattacharya, Debdeep Pati, Yun Yang |
| 2022 | QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning. | Maxime Vono, Vincent Plassier, Alain Durmus, Aymeric Dieuleveut, Eric Moulines |
| 2022 | Differential privacy for symmetric log-concave mechanisms. | Staal Amund Vinterbo |
| 2022 | Implicitly Regularized RL with Implicit Q-values. | Nino Vieillard, Marcin Andrychowicz, Anton Raichuk, Olivier Pietquin, Matthieu Geist |
| 2022 | Improved Algorithms for Misspecified Linear Markov Decision Processes. | Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant |
| 2022 | Embedded Ensembles: infinite width limit and operating regimes. | Maksim Velikanov, Roman V. Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky |