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| 2025 | Off-policy Predictive Control with Causal Sensitivity Analysis. | Myrl G. Marmarelis, Ali Hasan, Kamyar Azizzadenesheli, R. Michael Alvarez, Anima Anandkumar |
| 2025 | MindFlayer SGD: Efficient Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times. | Arto Maranjyan, Omar Shaikh Omar, Peter Richtrik |
| 2025 | Testing Generalizability in Causal Inference. | Daniel de Vassimon Manela, Linying Yang, Robin J. Evans |
| 2025 | SALSA: A Secure, Adaptive and Label-Agnostic Scalable Algorithm for Machine Unlearning. | Owais Makroo, Atif Hassan, Swanand R. Khare |
| 2025 | Weak to Strong Learning from Aggregate Labels. | Yukti Makhija, Rishi Saket |
| 2025 | Multi-armed Bandits with Missing Outcomes. | Ilia Mahrooghi, Mahshad Moradi, Sina Akbari, Negar Kiyavash |
| 2025 | Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection. | Tianci Liu, Tong Yang, Quan Zhang, Qi Lei |
| 2025 | Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold. | Song Liu, Leyang Wang, Yakun Wang |
| 2025 | Multi-group Uncertainty Quantification for Long-form Text Generation. | Terrance Liu, Steven Wu |
| 2025 | Periodical Moving Average Accelerates Gradient Accumulation for Post-Training. | Yumou Liu, An Li, Chaojie Li, Fei Yu, Benyou Wang |
| 2025 | Letting Uncertainty Guide Your Multimodal Machine Translation. | Wuyi Liu, Yue Gao, Yige Mao, Jing Zhao |
| 2025 | STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning. | Zhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang, Jia Liu |
| 2025 | DyGMAE: A Novel Dynamic Graph Masked Autoencoder for Link Prediction. | Weixiong Liu, Junwei Cheng, Zhongyu Pan, Chaobo He, Quanlong Guan |
| 2025 | Enhancing Uncertainty Quantification in Large Language Models through Semantic Graph Density. | Zhaoye Li, Siyuan Shen, Wenjing Yang, Ruochun Jin, Huan Chen, Ligong Cao, Jing Ren |
| 2025 | FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning. | I-Cheng Lin, Osman Yagan, Carlee Joe-Wong |
| 2025 | CP | Putri A. van der Linden, Alexander Timans, Erik J. Bekkers |
| 2025 | Flat Posterior Does Matter For Bayesian Model Averaging. | Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song |
| 2025 | Trading Off Voting Axioms for Privacy. | Zhechen Li, Ao Liu, Lirong Xia, Yongzhi Cao, Hanpin Wang |
| 2025 | Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory. | Jiehao Liang, Zhao Song, Zhaozhuo Xu, Junze Yin, Danyang Zhuo |
| 2025 | Constraint-based Causal Discovery from a Collection of Conditioning Sets. | Kenneth Lee, Bruno Ribeiro, Murat Kocaoglu |
| 2025 | Adaptive Reward Design for Reinforcement Learning. | Minjae Kwon, Ingy Elsayed-Aly, Lu Feng |
| 2025 | A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction. | Leander Kurscheidt, Paolo Morettin, Roberto Sebastiani, Andrea Passerini, Antonio Vergari |
| 2025 | Beyond Sin-Squared Error: Linear Time Entrywise Uncertainty Quantification for Streaming PCA. | Syamantak Kumar, Shourya Pandey, Purnamrita Sarkar |
| 2025 | Budget Allocation Exploiting Label Correlation between Instances. | Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li |