| 2021 | Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties. | Lisa Schut, Oscar Key, Rory McGrath, Luca Costabello, Bogdan Sacaleanu, Medb Corcoran, Yarin Gal |
| 2021 | Equitable and Optimal Transport with Multiple Agents. | Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi |
| 2021 | A Spectral Analysis of Dot-product Kernels. | Meyer Scetbon, Zad Harchaoui |
| 2021 | Neural Enhanced Belief Propagation on Factor Graphs. | Victor Garcia Satorras, Max Welling |
| 2021 | Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning. | Hitesh Sapkota, Yiming Ying, Feng Chen, Qi Yu |
| 2021 | Dominate or Delete: Decentralized Competing Bandits in Serial Dictatorship. | Abishek Sankararaman, Soumya Basu, Karthik Abinav Sankararaman |
| 2021 | Inductive Mutual Information Estimation: A Convex Maximum-Entropy Copula Approach. | Yves-Laurent Kom Samo |
| 2021 | Differentiable Greedy Algorithm for Monotone Submodular Maximization: Guarantees, Gradient Estimators, and Applications. | Shinsaku Sakaue |
| 2021 | Differentially Private Monotone Submodular Maximization Under Matroid and Knapsack Constraints. | Omid Sadeghi, Maryam Fazel |
| 2021 | Regret-Optimal Filtering. | Oron Sabag, Babak Hassibi |
| 2021 | Self-Concordant Analysis of Generalized Linear Bandits with Forgetting. | Yoan Russac, Louis Faury, Olivier Capp, Aurlien Garivier |
| 2021 | Towards Flexible Device Participation in Federated Learning. | Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong |
| 2021 | Dynamic Cutset Networks. | Chiradeep Roy, Tahrima Rahman, Hailiang Dong, Nicholas Ruozzi, Vibhav Gogate |
| 2021 | ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning. | Martin Royer, Frdric Chazal, Clment Levrard, Yuhei Umeda, Yuichi Ike |
| 2021 | Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations. | Simone Rossi, Markus Heinonen, Edwin V. Bonilla, Zheyang Shen, Maurizio Filippone |
| 2021 | Provably Safe PAC-MDP Exploration Using Analogies. | Melrose Roderick, Vaishnavh Nagarajan, J. Zico Kolter |
| 2021 | Localizing Changes in High-Dimensional Regression Models. | Alessandro Rinaldo, Daren Wang, Qin Wen, Rebecca Willett, Yi Yu |
| 2021 | Learning with Gradient Descent and Weakly Convex Losses. | Dominic Richards, Mike Rabbat |
| 2021 | Asymptotics of Ridge(less) Regression under General Source Condition. | Dominic Richards, Jaouad Mourtada, Lorenzo Rosasco |
| 2021 | Influence Decompositions For Neural Network Attribution. | Kyle Reing, Greg Ver Steeg, Aram Galstyan |
| 2021 | RankDistil: Knowledge Distillation for Ranking. | Sashank J. Reddi, Rama Kumar Pasumarthi, Aditya Krishna Menon, Ankit Singh Rawat, Felix X. Yu, Seungyeon Kim, Andreas Veit, Sanjiv Kumar |
| 2021 | Top-m identification for linear bandits. | Clmence Rda, Emilie Kaufmann, Andre Delahaye-Duriez |
| 2021 | Longitudinal Variational Autoencoder. | Siddharth Ramchandran, Gleb Tikhonov, Kalle Kujanp, Miika Koskinen, Harri Lhdesmki |
| 2021 | Latent Gaussian process with composite likelihoods and numerical quadrature. | Siddharth Ramchandran, Miika Koskinen, Harri Lhdesmki |
| 2021 | Explicit Regularization of Stochastic Gradient Methods through Duality. | Anant Raj, Francis R. Bach |