| 2025 | Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent. | Teodor Rotaru, Panagiotis Patrinos, Franois Glineur |
| 2025 | Personalized Convolutional Dictionary Learning of Physiological Time Series. | Axel Roques, Samuel Gruffaz, Kyurae Kim, Alain Oliviero Durmus, Laurent Oudre |
| 2025 | Variational Schrdinger Momentum Diffusion. | Kevin Rojas, Yixin Tan, Molei Tao, Yuriy Nevmyvaka, Wei Deng |
| 2025 | Efficient Optimization Algorithms for Linear Adversarial Training. | Antnio H. Ribeiro, Thomas B. Schn, Dave Zachariah, Francis Bach |
| 2025 | ClusterSC: Advancing Synthetic Control with Donor Selection. | Saeyoung Rho, Andrew Tang, Noah Bergam, Rachel Cummings, Vishal Misra |
| 2025 | Scalable spectral representations for multiagent reinforcement learning in network MDPs. | Zhaolin Ren, Runyu Zhang, Bo Dai, Na Li |
| 2025 | On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors. | Tim Rensmeyer, Oliver Niggemann |
| 2025 | qttPOTS: Efficient Batch Multiobjective Bayesian Optimization via Pareto Optimal Thompson Sampling. | Ashwin Renganathan, Kade Carlson |
| 2025 | Multi-Player Approaches for Dueling Bandits. | Or Raveh, Junya Honda, Masashi Sugiyama |
| 2025 | Visualizing token importance for black-box language models. | Paulius Rauba, Qiyao Wei, Mihaela van der Schaar |
| 2025 | On Distributional Discrepancy for Experimental Design with General Assignment Probabilities. | Anup Rao, Peng Zhang |
| 2025 | Feasible Learning. | Juan Ramirez, Ignacio Hounie, Juan Elenter, Jose Gallego-Posada, Meraj Hashemizadeh, Alejandro Ribeiro, Simon Lacoste-Julien |
| 2025 | Evaluating Prediction-based Interventions with Human Decision Makers In Mind. | Inioluwa Deborah Raji, Lydia T. Liu |
| 2025 | A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets. | Ossi Ris, Antti Honkela |
| 2025 | Causal Temporal Regime Structure Learning. | Abdellah Rahmani, Pascal Frossard |
| 2025 | AlleNoise - large-scale text classification benchmark dataset with real-world label noise. | Alicja Raczkowska, Aleksandra Osowska-Kurczab, Jacek Szczerbinski, Kalina Jasinska-Kobus, Klaudia Nazarko |
| 2025 | Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data. | Chengrui Qu, Laixi Shi, Kishan Panaganti, Pengcheng You, Adam Wierman |
| 2025 | Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models. | Mingyu Pu, Songhao Wang, Haowei Wang, Szu Hui Ng |
| 2025 | Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders. | Parjanya Prajakta Prashant, Seyedeh Baharan Khatami, Bruno Ribeiro, Babak Salimi |
| 2025 | Best-Arm Identification in Unimodal Bandits. | Riccardo Poiani, Marc Jourdan, Emilie Kaufmann, Rmy Degenne |
| 2025 | Distribution-Aware Mean Estimation under User-level Local Differential Privacy. | Corentin Pla, Maxime Vono, Hugo Richard |
| 2025 | Active Feature Acquisition for Personalised Treatment Assignment. | Julianna Piskorz, Nicols Astorga, Jeroen Berrevoets, Mihaela van der Schaar |
| 2025 | Legitimate ground-truth-free metrics for deep uncertainty classification scoring. | Arthur Pignet, Chiara Regniez, John Klein |
| 2025 | Computation-Aware Kalman Filtering and Smoothing. | Marvin Pfrtner, Jonathan Wenger, Jon Cockayne, Philipp Hennig |
| 2025 | Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model. | Francesco Saverio Pezzicoli, Valentina Ros, Franois P. Landes, Marco Baity-Jesi |