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| 2025 | A Likelihood Based Approach for Watermark Detection. | Xingchi Li, Guanxun Li, Xianyang Zhang |
| 2025 | Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs. | Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Tianyi Zhou |
| 2025 | When Can We Solve the Weighted Low Rank Approximation Problem in Truly Subquadratic Time? | Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song |
| 2025 | On the Identifiability of Causal Abstractions. | Xiusi Li, Skou-Oumar Kaba, Siamak Ravanbakhsh |
| 2025 | Towards a mathematical theory for consistency training in diffusion models. | Gen Li, Zhihan Huang, Yuting Wei |
| 2025 | On the Power of Multitask Representation Learning with Gradient Descent. | Qiaobo Li, Zixiang Chen, Yihe Deng, Yiwen Kou, Yuan Cao, Quanquan Gu |
| 2025 | Looped ReLU MLPs May Be All You Need as Practical Programmable Computers. | Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Yufa Zhou |
| 2025 | Unconditionally Calibrated Priors for Beta Mixture Density Networks. | Alix Lhritier, Maurizio Filippone |
| 2025 | A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning. | Chungpa Lee, Jeongheon Oh, Kibok Lee, Jy-yong Sohn |
| 2025 | A Generalized Theory of Mixup for Structure-Preserving Synthetic Data. | Chungpa Lee, Jongho Im, Joseph H. T. Kim |
| 2025 | Q-function Decomposition with Intervention Semantics for Factored Action Spaces. | Junkyu Lee, Tian Gao, Elliot Nelson, Miao Liu, Debarun Bhattacharjya, Songtao Lu |
| 2025 | Fixed-Budget Change Point Identification in Piecewise Constant Bandits. | Joseph Lazzaro, Ciara Pike-Burke |
| 2025 | Factor Analysis with Correlated Topic Model for Multi-Modal Data. | Malgorzata Lazecka, Ewa Szczurek |
| 2025 | The Local Learning Coefficient: A Singularity-Aware Complexity Measure. | Edmund Lau, Zach Furman, George Wang, Daniel Murfet, Susan Wei |
| 2025 | Task Shift: From Classification to Regression in Overparameterized Linear Models. | Tyler LaBonte, Kuo-Wei Lai, Vidya Muthukumar |
| 2025 | Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents. | Safwan Labbi, Daniil Tiapkin, Lorenzo Mancini, Paul Mangold, Eric Moulines |
| 2025 | Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way. | Jeongyeol Kwon, Luke Dotson, Yudong Chen, Qiaomin Xie |
| 2025 | Learning Graph Node Embeddings by Smooth Pair Sampling. | Konstantin Kutzkov |
| 2025 | Adaptive Convergence Rates for Log-Concave Maximum Likelihood. | Gil Kur, Aditya Guntuboyina |
| 2025 | Transformers are Provably Optimal In-context Estimators for Wireless Communications. | Vishnu Teja Kunde, Vicram Rajagopalan, Chandra Shekhara Kaushik Valmeekam, Krishna Narayanan, Jean-Franois Chamberland, Dileep Kalathil, Srinivas Shakkottai |
| 2025 | On the Relationship Between Robustness and Expressivity of Graph Neural Networks. | Lorenz Kummer, Wilfried N. Gansterer, Nils Morten Kriege |
| 2025 | Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation. | Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Yasuhiro Fujiwara |
| 2025 | General Staircase Mechanisms for Optimal Differential Privacy. | Alex Kulesza, Ananda Theertha Suresh, Yuyan Wang |
| 2025 | Global Ground Metric Learning with Applications to scRNA data. | Damin Khn, Michael T. Schaub |