| 2025 | Group-Agent Reinforcement Learning with Heterogeneous Agents. | Kaiyue Wu, Xiao-Jun Zeng, Tingting Mu |
| 2025 | FlightPatchNet: Multi-Scale Patch Network with Differential Coding for Short-Term Flight Trajectory Prediction. | Lan Wu, Xuebin Wang, Ruijuan Chu, Guangyi Liu, Jing Zhang, Linyu Wang |
| 2025 | Online Generalized Magician's Problem with Multiple Workers. | Ruoyu Wu, Wei Bao, Ben Liang, Liming Ge |
| 2025 | Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature. | Bernardo Williams, Hanlin Yu, Hoang Phuc Hau Luu, Georgios Arvanitidis, Arto Klami |
| 2025 | Targeted Learning for Variable Importance. | Xiaohan Wang, Yunzhe Zhou, Giles Hooker |
| 2025 | VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning. | Jie Wang, Ning Xu, Xin Geng |
| 2025 | Nonparametric Bayesian Multi-Facet Clustering for Longitudinal Data. | Luwei Wang, Kieran Richards, Sohan Seth |
| 2025 | A Parallel Network for LRCT Segmentation and Uncertainty Mitigation with Fuzzy Sets. | Shiyi Wang, Yang Nan, Xiaodan Xing, Yingying Fang, Simon L. F. Walsh, Guang Yang |
| 2025 | MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory. | Zifan Wang, Jingwei Li, Yitang Li, Yunze Liu |
| 2025 | A Mirror Descent Perspective of Smoothed Sign Descent. | Shuyang Wang, Diego Klabjan |
| 2025 | Informative Synthetic Data Generation for Thorax Disease Classification. | Yancheng Wang, Rajeev Goel, Marko Jojic, Alvin C. Silva, Teresa Wu, Yingzhen Yang |
| 2025 | A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs. | Wenyu Wang, Zheyi Fan, Szu Hui Ng |
| 2025 | Hindsight Merging: Diverse Data Generation with Language Models. | Veniamin Veselovsky, Benedikt Stroebl, Gianluca M. Bencomo, Dilip Arumugam, Lisa Schut, Arvind Narayanan, Thomas L. Griffiths |
| 2025 | Offline Changepoint Detection With Gaussian Processes. | Janneke Verbeek, Tom Heskes, Yuliya Shapovalova |
| 2025 | Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models. | Aishwarya Venkataramanan, Paul Bodesheim, Joachim Denzler |
| 2025 | EERO: Early Exit with Reject Option for Efficient Classification with limited budget. | Florian Valade, Mohamed Hebiri, Paul Gay |
| 2025 | Optimal Transport Alignment of User Preferences from Ratings and Texts. | Nhu-Thuat Tran, Hady W. Lauw |
| 2025 | HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State Discovery. | Sana Tonekaboni, Tina Behrouzi, Addison Weatherhead, Emily B. Fox, David M. Blei, Anna Goldenberg |
| 2025 | On Continuous Monitoring of Risk Violations under Unknown Shift. | Alexander Timans, Rajeev Verma, Eric T. Nalisnick, Christian A. Naesseth |
| 2025 | A Unified Data Representation Learning for Non-parametric Two-sample Testing. | Xunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Arthur Gretton, Feng Liu |
| 2025 | Adversarial Training May Induce Deteriorating Distributions. | Runzhi Tian, Yongyi Mao |
| 2025 | Metric Learning in an RKHS. | Gokcan Tatli, Yi Chen, Blake Mason, Robert D. Nowak, Ramya Korlakai Vinayak |
| 2025 | InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis. | Shiqin Tang, Shujian Yu |
| 2025 | FALCON: Adaptive Cross-Domain APT Attack Investigation with Federated Causal Learning. | Jialu Tang, Yali Gao, Xiaoyong Li, Jiawei Li, Shui Yu, Binxing Fang |
| 2025 | Transparent Trade-offs between Properties of Explanations. | Hiwot Belay Tadesse, Alihan Hyk, Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez |