| 2025 | A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models. | Xiaoyan Hu, Ho-fung Leung, Farzan Farnia |
| 2025 | Your copula is a classifier in disguise: classification-based copula density estimation. | David Huk, Mark Steel, Ritabrata Dutta |
| 2025 | Primal-Dual Spectral Representation for Off-policy Evaluation. | Yang Hu, Tianyi Chen, Na Li, Kai Wang, Bo Dai |
| 2025 | From Gradient Clipping to Normalization for Heavy Tailed SGD. | Florian Hbler, Ilyas Fatkhullin, Niao He |
| 2025 | Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients. | Yue Huang, Jiaojiao Zhang, Qing Ling |
| 2025 | Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization. | Feihu Huang, Chunyu Xuan, Xinrui Wang, Siqi Zhang, Songcan Chen |
| 2025 | Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding. | Shimeng Huang, Niklas Pfister, Jack Bowden |
| 2025 | Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons. | Wei Huang, Yuan Cao, Haonan Wang, Xin Cao, Taiji Suzuki |
| 2025 | QuACK: A Multipurpose Queuing Algorithm for Cooperative k-Armed Bandits. | Benjamin Howson, Sarah Filippi, Ciara Pike-Burke |
| 2025 | Distributional Off-policy Evaluation with Bellman Residual Minimization. | Sungee Hong, Zhengling Qi, Raymond K. W. Wong |
| 2025 | Do Regularization Methods for Shortcut Mitigation Work As Intended? | Haoyang Hong, Ioanna Papanikolaou, Sonali Parbhoo |
| 2025 | Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPs. | Kihyuk Hong, Woojin Chae, Yufan Zhang, Dabeen Lee, Ambuj Tewari |
| 2025 | High Dimensional Bayesian Optimization using Lasso Variable Selection. | Vu Viet Hoang, Hung The Tran, Sunil Gupta, Vu Nguyen |
| 2025 | Axiomatic Explainer Globalness via Optimal Transport. | Davin Hill, Joshua T. Bone, Aria Masoomi, Max Torop, Jennifer G. Dy |
| 2025 | Stochastic Gradient Descent for Bzier Simplex Representation of Pareto Set in Multi-Objective Optimization. | Yasunari Hikima, Ken Kobayashi, Akinori Tanaka, Akiyoshi Sannai, Naoki Hamada |
| 2025 | Decoupling epistemic and aleatoric uncertainties with possibility theory. | Nong Minh Hieu, Jeremie Houssineau, Neil K. Chada, Emmanuel Delande |
| 2025 | Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory. | Lucas Gnecco Heredia, Matteo Sammut, Muni Sreenivas Pydi, Rafael Pinot, Benjamin Ngrevergne, Yann Chevaleyre |
| 2025 | Differentially Private Continual Release of Histograms and Related Queries. | Monika Henzinger, A. R. Sricharan, Teresa Anna Steiner |
| 2025 | Spectral Differential Network Analysis for High-Dimensional Time Series. | Michael Hellstern, Byol Kim, Zad Harchaoui, Ali Shojaie |
| 2025 | Robust Classification by Coupling Data Mollification with Label Smoothing. | Markus Heinonen, Ba-Hien Tran, Michael Kampffmeyer, Maurizio Filippone |
| 2025 | Calibrated Computation-Aware Gaussian Processes. | Disha Hegde, Mohamed Adil, Jon Cockayne |
| 2025 | Training Neural Samplers with Reverse Diffusive KL Divergence. | Jiajun He, Wenlin Chen, Mingtian Zhang, David Barber, Jos Miguel Hernndez-Lobato |
| 2025 | Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis. | Jia Lin Hau, Erick Delage, Esther Derman, Mohammad Ghavamzadeh, Marek Petrik |
| 2025 | On Tractability of Learning Bayesian Networks with Ancestral Constraints. | Juha Harviainen, Pekka Parviainen |
| 2025 | Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem. | Shaan Ul Haque, Siva Theja Maguluri |