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| 2025 | Parabolic Continual Learning. | Haoming Yang, Ali Hasan, Vahid Tarokh |
| 2025 | Bilevel Reinforcement Learning via the Development of Hyper-gradient without Lower-Level Convexity. | Yan Yang, Bin Gao, Ya-xiang Yuan |
| 2025 | Behavior-Inspired Neural Networks for Relational Inference. | Yulong Yang, Bowen Feng, Keqin Wang, Naomi Ehrich Leonard, Adji Bousso Dieng, Christine Allen-Blanchette |
| 2025 | Infinite-dimensional Diffusion Bridge Simulation via Operator Learning. | Gefan Yang, Elizabeth Louise Baker, Michael L. Severinsen, Christy Anna Hipsley, Stefan Sommer |
| 2025 | LMEraser: Large Model Unlearning via Adaptive Prompt Tuning. | Jie Xu, Zihan Wu, Cong Wang, Xiaohua Jia |
| 2025 | Information-Theoretic Causal Discovery in Topological Order. | Sascha Xu, Sarah Mameche, Jilles Vreeken |
| 2025 | Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization. | Ziqing Xu, Hancheng Min, Lachlan Ewen MacDonald, Jinqi Luo, Salma Tarmoun, Enrique Mallada, Ren Vidal |
| 2025 | Randomized Iterative Solver as Iterative Refinement: A Simple Fix Towards Backward Stability. | Ruihan Xu, Yiping Lu |
| 2025 | Multi-agent Multi-armed Bandit Regret Complexity and Optimality. | Mengfan Xu, Diego Klabjan |
| 2025 | Kernel Single Proxy Control for Deterministic Confounding. | Liyuan Xu, Arthur Gretton |
| 2025 | Bayesian Gaussian Process ODEs via Double Normalizing Flows. | Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, Delu Zeng, John Paisley |
| 2025 | Computing high-dimensional optimal transport by flow neural networks. | Chen Xu, Xiuyuan Cheng, Yao Xie |
| 2025 | Adversarial Training in High-Dimensional Regression: Generated Data and Neural Networks. | Yue Xing |
| 2025 | Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation. | Yilin Xie, Shiqiang Zhang, Joel A. Paulson, Calvin Tsay |
| 2025 | Covariance Selection over Networks. | Wenfu Xia, Fengpei Li, Ying Sun, Ziping Zhao |
| 2025 | Conditional Prediction ROC Bands for Graph Classification. | Yujia Wu, Bo Yang, Elynn Y. Chen, Yuzhou Chen, Zheshi Zheng |
| 2025 | Functional Stochastic Gradient MCMC for Bayesian Neural Networks. | Mengjing Wu, Junyu Xuan, Jie Lu |
| 2025 | Cost-Aware Optimal Pairwise Pure Exploration. | Di Wu, Chengshuai Shi, Ruida Zhou, Cong Shen |
| 2025 | High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching. | Daniel J. Williams, Leyang Wang, Qizhen Ying, Song Liu, Mladen Kolar |
| 2025 | Steering No-Regret Agents in MFGs under Model Uncertainty. | Leo Widmer, Jiawei Huang, Niao He |
| 2025 | Partial Information Decomposition for Data Interpretability and Feature Selection. | Charles Westphal, Stephen Hailes, Mirco Musolesi |
| 2025 | Tensor Network-Constrained Kernel Machines as Gaussian Processes. | Frederiek Wesel, Kim Batselier |
| 2025 | Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications. | Matthew Werenski, Brendan Mallery, Shuchin Aeron, James M. Murphy |
| 2025 | Elastic Representation: Mitigating Spurious Correlations for Group Robustness. | Tao Wen, Zihan Wang, Quan Zhang, Qi Lei |