| 2025 | Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs? | Son Luu, Zuheng Xu, Nikola Surjanovic, Miguel Biron-Lattes, Trevor Campbell, Alexandre Bouchard-Ct |
| 2025 | Diffusion Models under Group Transformations. | Haoye Lu, Spencer Szabados, Yaoliang Yu |
| 2025 | Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis. | Ruichen Luo, Sebastian U. Stich, Samuel Horvth, Martin Takc |
| 2025 | Adaptive Extragradient Methods for Root-finding Problems under Relaxed Assumptions. | Yang Luo, Michael J. O'Neill |
| 2025 | ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data. | Kevin Luo, Yufan Li, Pragya Sur |
| 2025 | Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems. | Da Long, Zhitong Xu, Qiwei Yuan, Yin Yang, Shandian Zhe |
| 2025 | UNHaP: Unmixing Noise from Hawkes Processes. | Virginie Loison, Guillaume Staerman, Thomas Moreau |
| 2025 | Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation. | Nguyen Thang Loi, Duong Tan Loc, Vo Nguyen Le Duy |
| 2025 | A primer on linear classification with missing data. | Angel David Reyero Lobo, Alexis Ayme, Claire Boyer, Erwan Scornet |
| 2025 | Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation. | Diantong Li, Fengxue Zhang, Chong Liu, Yuxin Chen |
| 2025 | HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks. | Xin Liu, Weijia Zhang, Min-Ling Zhang |
| 2025 | ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters. | Hao Liu, Junze Ye, Jose H. Blanchet, Nian Si |
| 2025 | A Shared Low-Rank Adaptation Approach to Personalized RLHF. | Renpu Liu, Peng Wang, Donghao Li, Cong Shen, Jing Yang |
| 2025 | Data Reconstruction Attacks and Defenses: A Systematic Evaluation. | Sheng Liu, Zihan Wang, Yuxiao Chen, Qi Lei |
| 2025 | Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control. | Zifan Liu, Xinran Li, Shibo Chen, Gen Li, Jiashuo Jiang, Jun Zhang |
| 2025 | Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models. | Yucheng Liu, Xiaodong Li |
| 2025 | Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting. | Fuqiang Liu, Sicong Jiang, Luis Miranda-Moreno, Seongjin Choi, Lijun Sun |
| 2025 | Optimal Stochastic Trace Estimation in Generative Modeling. | Xinyang Liu, Hengrong Du, Wei Deng, Ruqi Zhang |
| 2025 | Information-Theoretic Measures on Lattices for Higher-Order Interactions. | Zhaolu Liu, Mauricio Barahona, Robert L. Peach |
| 2025 | Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks. | Suqi Liu, Morgane Austern |
| 2025 | FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts. | Ziqi Liu |
| 2025 | On Preference-based Stochastic Linear Contextual Bandits with Knapsacks. | Xin Liu |
| 2025 | Multi-Agent Credit Assignment with Pretrained Language Models. | Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Wei Yin, Hao Shen, Bo Jin, Hongyuan Zha |
| 2025 | Towards Cost Sensitive Decision Making. | Yang Li, Junier Oliva |
| 2025 | Stochastic Weight Sharing for Bayesian Neural Networks. | Moule Lin, Shuhao Guan, Weipeng Jing, Goetz Botterweck, Andrea Patane |