| 2022 | Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge. | Arshdeep Sekhon, Zhe Wang, Yanjun Qi |
| 2022 | Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe. | Thibault Sjourn, Franois-Xavier Vialard, Gabriel Peyr |
| 2022 | Node Feature Kernels Increase Graph Convolutional Network Robustness. | Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis |
| 2022 | Feature Collapsing for Gaussian Process Variable Ranking. | Isaac Sebenius, Topi Paananen, Aki Vehtari |
| 2022 | Randomized Stochastic Gradient Descent Ascent. | Othmane Sebbouh, Marco Cuturi, Gabriel Peyr |
| 2022 | Last Layer Marginal Likelihood for Invariance Learning. | Pola Schwbel, Martin Jrgensen, Sebastian W. Ober, Mark van der Wilk |
| 2022 | Orthogonal Multi-Manifold Enriching of Directed Networks. | Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Kapil Jayesh Pathak |
| 2022 | Mode estimation on matrix manifolds: Convergence and robustness. | Hiroaki Sasaki, Jun-Ichiro Hirayama, Takafumi Kanamori |
| 2022 | Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback. | Anirban Santara, Gaurav Aggarwal, Shuai Li, Claudio Gentile |
| 2022 | Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky's Theorem. | Clayton Hendrick Sanford, Vaggos Chatziafratis |
| 2022 | Sinkformers: Transformers with Doubly Stochastic Attention. | Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyr |
| 2022 | An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints. | Adil Salim, Laurent Condat, Dmitry Kovalev, Peter Richtrik |
| 2022 | On Combining Bags to Better Learn from Label Proportions. | Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran |
| 2022 | Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits. | Aadirupa Saha, Suprovat Ghoshal |
| 2022 | Estimators of Entropy and Information via Inference in Probabilistic Models. | Feras Saad, Marco F. Cusumano-Towner, Vikash Mansinghka |
| 2022 | Parameter-Free Online Linear Optimization with Side Information via Universal Coin Betting. | Jongha J. Ryu, Alankrita Bhatt, Young-Han Kim |
| 2022 | The Fast Kernel Transform. | John Paul Ryan, Sebastian E. Ament, Carla P. Gomes, Anil Damle |
| 2022 | k-Pareto Optimality-Based Sorting with Maximization of Choice. | Jean Ruppert, Marharyta Aleksandrova, Thomas Engel |
| 2022 | Modeling Conditional Dependencies in Multiagent Trajectories. | Yannick Rudolph, Ulf Brefeld |
| 2022 | On Some Fast And Robust Classifiers For High Dimension, Low Sample Size Data. | Sarbojit Roy, Jyotishka Ray Choudhury, Subhajit Dutta |
| 2022 | An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization. | Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski |
| 2022 | Spiked Covariance Estimation from Modulo-Reduced Measurements. | Elad Romanov, Or Ordentlich |
| 2022 | Mitigating Bias in Calibration Error Estimation. | Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer |
| 2022 | Survival regression with proper scoring rules and monotonic neural networks. | David Rindt, Robert Hu, David Steinsaltz, Dino Sejdinovic |
| 2022 | A Bayesian Model for Online Activity Sample Sizes. | Thomas S. Richardson, Yu Liu, James McQueen, Doug Hains |