| 2025 | Robust Score Matching. | Richard Schwank, Andrew McCormack, Mathias Drton |
| 2025 | Additive Model Boosting: New Insights and Path(ologie)s. | Rickmer Schulte, David Rgamer |
| 2025 | SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph. | Mtys Schubert, Tom Claassen, Sara Magliacane |
| 2025 | Robust Kernel Hypothesis Testing under Data Corruption. | Antonin Schrab, Ilmun Kim |
| 2025 | Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks. | Nandi Schoots, Mattia Jacopo Villani, Niels uit de Bos |
| 2025 | Time-series attribution maps with regularized contrastive learning. | Steffen Schneider, Rodrigo Gonzlez Laiz, Anastasiia Filippova, Markus Frey, Mackenzie W. Mathis |
| 2025 | Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models. | Manan Saxena, Tinghua Chen, Justin D. Silverman |
| 2025 | Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation. | Amartya Sanyal, Yaxi Hu, Yaodong Yu, Yian Ma, Yixin Wang, Bernhard Schlkopf |
| 2025 | Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks. | Ashwin Samudre, Mircea Petrache, Brian Nord, Shubhendu Trivedi |
| 2025 | Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization. | Sudeep Salgia, Nikola Pavlovic, Yuejie Chi, Qing Zhao |
| 2025 | Posterior Mean Matching: Generative Modeling through Online Bayesian Inference. | Sebastian Salazar, Michal Kucer, Yixin Wang, Emily M. Casleton, David M. Blei |
| 2025 | Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel-Young Loss Perspective and Gap-Dependent Regret Analysis. | Shinsaku Sakaue, Han Bao, Taira Tsuchiya |
| 2025 | Tensor Network Based Feature Learning Model. | Albert Saiapin, Kim Batselier |
| 2025 | Independent Learning in Performative Markov Potential Games. | Rilind Sahitaj, Paulius Sasnauskas, Yigit Yalin, Debmalya Mandal, Goran Radanovic |
| 2025 | S-CFE: Simple Counterfactual Explanations. | Shpresim Sadiku, Moritz Wagner, Sai Ganesh Nagarajan, Sebastian Pokutta |
| 2025 | On adaptivity and minimax optimality of two-sided nearest neighbors. | Tathagata Sadhukhan, Manit Paul, Raaz Dwivedi |
| 2025 | Cross-modality Matching and Prediction of Perturbation Responses with Labeled Gromov-Wasserstein Optimal Transport. | Jayoung Ryu, Charlotte Bunne, Luca Pinello, Aviv Regev, Romain Lopez |
| 2025 | Global Group Fairness in Federated Learning via Function Tracking. | Yves Rychener, Daniel Kuhn, Yifan Hu |
| 2025 | Pure Exploration with Feedback Graphs. | Alessio Russo, Yichen Song, Aldo Pacchiano |
| 2025 | Achieving $\widetilde{\mathcal{O}}(\sqrt{T})$ Regret in Average-Reward POMDPs with Known Observation Models. | Alessio Russo, Alberto Maria Metelli, Marcello Restelli |
| 2025 | InfoNCE: Identifying the Gap Between Theory and Practice. | Evgenia Rusak, Patrik Reizinger, Attila Juhos, Oliver Bringmann, Roland S. Zimmermann, Wieland Brendel |
| 2025 | Fine-Tuning with Uncertainty-Aware Priors Makes Vision and Language Foundation Models More Reliable. | Tim G. J. Rudner, Xiang Pan, Yucen Lily Li, Ravid Shwartz-Ziv, Andrew Gordon Wilson |
| 2025 | Riemann | Leonel Rozo, Miguel Gonzlez Duque, Nomie Jaquier, Sren Hauberg |
| 2025 | Classification of High-dimensional Time Series in Spectral Domain Using Explainable Features with Applications to Neuroimaging Data. | Sarbojit Roy, Malik Shahid Sultan, Tania Reyes Vallejo, Leena Ali Ibrahim, Hernando Ombao |
| 2025 | FLIPHAT: Joint Differential Privacy for High Dimensional Linear Bandits. | Saptarshi Roy, Sunrit Chakraborty, Debabrota Basu |