| 2020 | Linearly Convergent Frank-Wolfe without Line-Search. | Fabian Pedregosa, Geoffrey Ngiar, Armin Askari, Martin Jaggi |
| 2020 | Uncertainty in Neural Networks: Approximately Bayesian Ensembling. | Tim Pearce, Felix Leibfried, Alexandra Brintrup |
| 2020 | Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport. | Franois-Pierre Paty, Alexandre d'Aspremont, Marco Cuturi |
| 2020 | Unsupervised Neural Universal Denoiser for Finite-Input General-Output Noisy Channel. | Taeeon Park, Taesup Moon |
| 2020 | Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation. | Sangdon Park, Osbert Bastani, James Weimer, Insup Lee |
| 2020 | Balancing Learning Speed and Stability in Policy Gradient via Adaptive Exploration. | Matteo Papini, Andrea Battistello, Marcello Restelli |
| 2020 | Scalable Nonparametric Factorization for High-Order Interaction Events. | Zhimeng Pan, Zheng Wang, Shandian Zhe |
| 2020 | Interpretable Companions for Black-Box Models. | Danqing Pan, Tong Wang, Satoshi Hara |
| 2020 | DYNOTEARS: Structure Learning from Time-Series Data. | Roxana Pamfil, Nisara Sriwattanaworachai, Shaan Desai, Philip Pilgerstorfer, Konstantinos Georgatzis, Paul Beaumont, Bryon Aragam |
| 2020 | Characterization of Overlap in Observational Studies. | Michael Oberst, Fredrik D. Johansson, Dennis Wei, Tian Gao, Gabriel A. Brat, David A. Sontag, Kush R. Varshney |
| 2020 | ASAP: Architecture Search, Anneal and Prune. | Asaf Noy, Niv Nayman, Tal Ridnik, Nadav Zamir, Sivan Doveh, Itamar Friedman, Raja Giryes, Lihi Zelnik |
| 2020 | Permutation Invariant Graph Generation via Score-Based Generative Modeling. | Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon |
| 2020 | Functional Gradient Boosting for Learning Residual-like Networks with Statistical Guarantees. | Atsushi Nitanda, Taiji Suzuki |
| 2020 | Contextual Combinatorial Volatile Multi-armed Bandit with Adaptive Discretization. | Andi Nika, Sepehr Elahi, Cem Tekin |
| 2020 | Distributionally Robust Bayesian Quadrature Optimization. | Thanh Tang Nguyen, Sunil Gupta, Huong Ha, Santu Rana, Svetha Venkatesh |
| 2020 | Decentralized gradient methods: does topology matter? | Giovanni Neglia, Chuan Xu, Don Towsley, Gianmarco Calbi |
| 2020 | Robust Stackelberg buyers in repeated auctions. | Thomas Nedelec, Clment Calauznes, Vianney Perchet, Noureddine El Karoui |
| 2020 | Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling. | Mojmir Mutny, Michal Derezinski, Andreas Krause |
| 2020 | Wasserstein Style Transfer. | Youssef Mroueh |
| 2020 | Linear predictor on linearly-generated data with missing values: non consistency and solutions. | Marine Le Morvan, Nicolas Prost, Julie Josse, Erwan Scornet, Gal Varoquaux |
| 2020 | The Quantile Snapshot Scan: Comparing Quantiles of Spatial Data from Two Snapshots in Time. | Travis Moore, Weng-Keen Wong |
| 2020 | Marginal Densities, Factor Graph Duality, and High-Temperature Series Expansions. | Mehdi Molkaraie |
| 2020 | A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach. | Aryan Mokhtari, Asuman E. Ozdaglar, Sarath Pattathil |
| 2020 | LIBRE: Learning Interpretable Boolean Rule Ensembles. | Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi |
| 2020 | Revisiting Stochastic Extragradient. | Konstantin Mishchenko, Dmitry Kovalev, Egor Shulgin, Peter Richtrik, Yura Malitsky |