| 2020 | A Unified Statistically Efficient Estimation Framework for Unnormalized Models. | Masatoshi Uehara, Takafumi Kanamori, Takashi Takenouchi, Takeru Matsuda |
| 2020 | Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. | Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy |
| 2020 | Diameter-based Interactive Structure Discovery. | Christopher Tosh, Daniel Hsu |
| 2020 | A Nonparametric Off-Policy Policy Gradient. | Samuele Tosatto, Joo Carvalho, Hany Abdulsamad, Jan Peters |
| 2020 | A Novel Confidence-Based Algorithm for Structured Bandits. | Andrea Tirinzoni, Alessandro Lazaric, Marcello Restelli |
| 2020 | On the interplay between noise and curvature and its effect on optimization and generalization. | Valentin Thomas, Fabian Pedregosa, Bart van Merrinboer, Pierre-Antoine Manzagol, Yoshua Bengio, Nicolas Le Roux |
| 2020 | Asynchronous Gibbs Sampling. | Alexander Terenin, Daniel Simpson, David Draper |
| 2020 | Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems. | Molei Tao, Tomoki Ohsawa |
| 2020 | Learning Fair Representations for Kernel Models. | Zilong Tan, Samuel Yeom, Matt Fredrikson, Ameet Talwalkar |
| 2020 | Variance Reduction for Evolution Strategies via Structured Control Variates. | Yunhao Tang, Krzysztof Choromanski, Alp Kucukelbir |
| 2020 | Sharp Asymptotics and Optimal Performance for Inference in Binary Models. | Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis |
| 2020 | Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation. | Jun Sun, Gang Wang, Georgios B. Giannakis, Qinmin Yang, Zaiyue Yang |
| 2020 | Multiplicative Gaussian Particle Filter. | Xuan Su, Wee Sun Lee, Zhen Zhang |
| 2020 | Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations. | Jan Stuehmer, Richard E. Turner, Sebastian Nowozin |
| 2020 | Gain with no Pain: Efficiency of Kernel-PCA by Nystrm Sampling. | Nicholas Sterge, Bharath K. Sriperumbudur, Lorenzo Rosasco, Alessandro Rudi |
| 2020 | Approximate Cross-Validation in High Dimensions with Guarantees. | William T. Stephenson, Tamara Broderick |
| 2020 | The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth measure. | Guillaume Staerman, Pavlo Mozharovskyi, Stphan Clmenon |
| 2020 | Sample complexity bounds for localized sketching. | Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg |
| 2020 | DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate. | Saeed Soori, Konstantin Mishchenko, Aryan Mokhtari, Maryam Mehri Dehnavi, Mert Grbzbalaban |
| 2020 | Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. | Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li |
| 2020 | Balanced Off-Policy Evaluation in General Action Spaces. | Arjun Sondhi, David Arbour, Drew Dimmery |
| 2020 | Rep the Set: Neural Networks for Learning Set Representations. | Konstantinos Skianis, Giannis Nikolentzos, Stratis Limnios, Michalis Vazirgiannis |
| 2020 | Context Mover's Distance & Barycenters: Optimal Transport of Contexts for Building Representations. | Sidak Pal Singh, Andreas Hug, Aymeric Dieuleveut, Martin Jaggi |
| 2020 | Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning. | Andrew Silva, Matthew C. Gombolay, Taylor W. Killian, Ivan Dario Jimenez Jimenez, Sung-Hyun Son |
| 2020 | Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity. | Aaron Sidford, Mengdi Wang, Lin Yang, Yinyu Ye |