| 2020 | Coping With Simulators That Don't Always Return. | Andrew Warrington, Frank Wood, Saeid Naderiparizi |
| 2020 | Black-Box Inference for Non-Linear Latent Force Models. | Wil O. C. Ward, Tom Ryder, Dennis Prangle, Mauricio A. lvarez |
| 2020 | Neural Topic Model with Attention for Supervised Learning. | Xinyi Wang, Yi Yang |
| 2020 | Causal inference in degenerate systems: An impossibility result. | Yue Wang, Linbo Wang |
| 2020 | Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification. | Zhengjue Wang, Chaojie Wang, Hao Zhang, Zhibin Duan, Mingyuan Zhou, Bo Chen |
| 2020 | Uncertainty Quantification for Sparse Deep Learning. | Yuexi Wang, Veronika Rockov |
| 2020 | Optimal Algorithms for Multiplayer Multi-Armed Bandits. | Po-An Wang, Alexandre Proutire, Kaito Ariu, Yassir Jedra, Alessio Russo |
| 2020 | Assessing Local Generalization Capability in Deep Models. | Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher |
| 2020 | The Sylvester Graphical Lasso (SyGlasso). | Yu Wang, Byoungwook Jang, Alfred O. Hero III |
| 2020 | Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning. | Gang Wang, Georgios B. Giannakis |
| 2020 | Deontological Ethics By Monotonicity Shape Constraints. | Serena Lutong Wang, Maya R. Gupta |
| 2020 | A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models. | Ziyu Wang, Shuyu Cheng, Yueru Li, Jun Zhu, Bo Zhang |
| 2020 | Online Batch Decision-Making with High-Dimensional Covariates. | Chi-Hua Wang, Guang Cheng |
| 2020 | Convergence Rates of Gradient Descent and MM Algorithms for Bradley-Terry Models. | Milan Vojnovic, Se-Young Yun, Kaifang Zhou |
| 2020 | A Multiclass Classification Approach to Label Ranking. | Robin Vogel, Stphan Clmenon |
| 2020 | Dynamic content based ranking. | Seppo Virtanen, Mark Girolami |
| 2020 | Momentum in Reinforcement Learning. | Nino Vieillard, Bruno Scherrer, Olivier Pietquin, Matthieu Geist |
| 2020 | Old Dog Learns New Tricks: Randomized UCB for Bandit Problems. | Sharan Vaswani, Abbas Mehrabian, Audrey Durand, Branislav Kveton |
| 2020 | On the optimality of kernels for high-dimensional clustering. | Leena Chennuru Vankadara, Debarghya Ghoshdastidar |
| 2020 | Online Convex Optimization with Perturbed Constraints: Optimal Rates against Stronger Benchmarks. | Victor Valls, George Iosifidis, Douglas J. Leith, Leandros Tassiulas |
| 2020 | Revisiting the Landscape of Matrix Factorization. | Hossein Valavi, Sulin Liu, Peter J. Ramadge |
| 2020 | Long-and Short-Term Forecasting for Portfolio Selection with Transaction Costs. | Guy Uziel, Ran El-Yaniv |
| 2020 | Nonparametric Sequential Prediction While Deep Learning the Kernel. | Guy Uziel |
| 2020 | Monotonic Gaussian Process Flows. | Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell |
| 2020 | Imputation estimators for unnormalized models with missing data. | Masatoshi Uehara, Takeru Matsuda, Jae Kwang Kim |