| 2025 | Entropic Matching for Expectation Propagation of Markov Jump Processes. | Yannick Eich, Bastian Alt, Heinz Koeppl |
| 2025 | A Subquadratic Time Approximation Algorithm for Individually Fair k-Center. | Matthijs Ebbens, Nicole Funk, Jan Hckendorff, Christian Sohler, Vera Weil |
| 2025 | The Size of Teachers as a Measure of Data Complexity: PAC-Bayes Excess Risk Bounds and Scaling Laws. | Gintare Karolina Dziugaite, Daniel M. Roy |
| 2025 | Out-of-distribution robustness for multivariate analysis via causal regularisation. | Homer Durand, Gherardo Varando, Nathan Mankovich, Gustau Camps-Valls |
| 2025 | Robust Fair Clustering with Group Membership Uncertainty Sets. | Sharmila Duppala, Juan Luque, John P. Dickerson, Seyed A. Esmaeili |
| 2025 | Collaborative non-parametric two-sample testing. | Alejandro D. de la Concha Duarte, Nicolas Vayatis, Argyris Kalogeratos |
| 2025 | The cost of local and global fairness in Federated Learning. | Yuying Duan, Gelei Xu, Yiyu Shi, Michael Lemmon |
| 2025 | Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning. | Gianluca Drappo, Arnaud Robert, Marcello Restelli, Aldo A. Faisal, Alberto Maria Metelli, Ciara Pike-Burke |
| 2025 | Variational Adversarial Training Towards Policies with Improved Robustness. | Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic |
| 2025 | Beyond Discretization: Learning the Optimal Solution Path. | Qiran Dong, Paul Grigas, Vishal Gupta |
| 2025 | Paths and Ambient Spaces in Neural Loss Landscapes. | Daniel Dold, Julius Kobialka, Nicolai Palm, Emanuel Sommer, David Rgamer, Oliver Drr |
| 2025 | Quantifying Knowledge Distillation using Partial Information Decomposition. | Pasan Dissanayake, Faisal Hamman, Barproda Halder, Ilia Sucholutsky, Qiuyi Zhang, Sanghamitra Dutta |
| 2025 | Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach. | Colin Dirren, Mattia Bianchi, Panagiotis D. Grontas, John Lygeros, Florian Drfler |
| 2025 | Differentially Private Range Queries with Correlated Input Perturbation. | Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Guanyang Wang |
| 2025 | Model Evaluation in the Dark: Robust Classifier Metrics with Missing Labels. | Danial Dervovic, Michael Cashmore |
| 2025 | Leveraging Frozen Batch Normalization for Co-Training in Source-Free Domain Adaptation. | Xianwen Deng, Yijun Wang, Zhi Xue |
| 2025 | Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees. | Yuyang Deng, Fuli Qiao, Mehrdad Mahdavi |
| 2025 | Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model. | Zilong Deng, Simon Khan, Shaofeng Zou |
| 2025 | Bridging the Theoretical Gap in Randomized Smoothing. | Blaise Delattre, Paul Caillon, Quentin Barthlemy, Erwan Fagnou, Alexandre Allauzen |
| 2025 | Graph-based Complexity for Causal Effect by Empirical Plug-in. | Rina Dechter, Anna Raichev, Jin Tian, Alexander Ihler |
| 2025 | A graphical global optimization framework for parameter estimation of statistical models with nonconvex regularization functions. | Danial Davarnia, Mohammadreza Kiaghadi |
| 2025 | Integer Programming Based Methods and Heuristics for Causal Graph Learning. | Sanjeeb Dash, Joao P. Goncalves, Tian Gao |
| 2025 | Certifiably Quantisation-Robust training and inference of Neural Networks. | Hue Dang, Matthew Wicker, Goetz Botterweck, Andrea Patane |
| 2025 | A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities. | Yatin Dandi, Luca Pesce, Hugo Cui, Florent Krzakala, Yue M. Lu, Bruno Loureiro |
| 2025 | Memorization in Attention-only Transformers. | Lo Dana, Muni Sreenivas Pydi, Yann Chevaleyre |