| 2025 | Sample Complexity of Branch-length Estimation by Maximum Likelihood. | David Clancy Jr., Hanbaek Lyu, Sebastien Roch |
| 2025 | Optimization for Neural Operators can Benefit from Width. | Pedro Cisneros-Velarde, Bhavesh Shrimali, Arindam Banerjee |
| 2025 | WMAdapter: Adding WaterMark Control to Latent Diffusion Models. | Hai Ci, Yiren Song, Pei Yang, Jinheng Xie, Mike Zheng Shou |
| 2025 | Vector Grimoire: Codebook-based Shape Generation under Raster Image Supervision. | Marco Cipriano, Moritz Feuerpfeil, Gerard de Melo |
| 2025 | Relational Conformal Prediction for Correlated Time Series. | Andrea Cini, Alexander Jenkins, Danilo P. Mandic, Cesare Alippi, Filippo Maria Bianchi |
| 2025 | Objective drives the consistency of representational similarity across datasets. | Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler |
| 2025 | SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training. | Tianzhe Chu, Yuexiang Zhai, Jihan Yang, Shengbang Tong, Saining Xie, Dale Schuurmans, Quoc V. Le, Sergey Levine, Yi Ma |
| 2025 | Fine-Grained Captioning of Long Videos through Scene Graph Consolidation. | Sanghyeok Chu, Seonguk Seo, Bohyung Han |
| 2025 | Unifying Specialized Visual Encoders for Video Language Models. | Jihoon Chung, Tyler Zhu, Max Gonzalez Saez-Diez, Juan Carlos Niebles, Honglu Zhou, Olga Russakovsky |
| 2025 | Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent. | Ya-Chi Chu, Wenzhi Gao, Yinyu Ye, Madeleine Udell |
| 2025 | Learning to Route LLMs with Confidence Tokens. | Yu-Neng Chuang, Prathusha Kameswara Sarma, Parikshit Gopalan, John Boccio, Sara Bolouki, Xia Hu, Helen Zhou |
| 2025 | SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models. | Yung-Sung Chuang, Benjamin Cohen-Wang, Zejiang Shen, Zhaofeng Wu, Hu Xu, Xi Victoria Lin, James R. Glass, Shang-Wen Li, Wen-tau Yih |
| 2025 | Linear convergence of Sinkhorn's algorithm for generalized static Schrdinger bridge. | Rahul Choudhary, Hanbaek Lyu |
| 2025 | Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry. | Chi-Ning Chou, Hang Le, Yichen Wang, SueYeon Chung |
| 2025 | Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty. | Yeseul Cho, Baekrok Shin, Changmin Kang, Chulhee Yun |
| 2025 | A Hitchhiker's Guide to Scaling Law Estimation. | Leshem Choshen, Yang Zhang, Jacob Andreas |
| 2025 | ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning. | Myungsik Cho, Jongeui Park, Jeonghye Kim, Youngchul Sung |
| 2025 | One-Step Generalization Ratio Guided Optimization for Domain Generalization. | Sumin Cho, Dongwon Kim, Kwangsu Kim |
| 2025 | Policy-labeled Preference Learning: Is Preference Enough for RLHF? | Taehyun Cho, Seokhun Ju, Seungyub Han, Dohyeong Kim, Kyungjae Lee, Jungwoo Lee |
| 2025 | How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence. | Hyeong Kyu Choi, Maxim Khanov, Hongxin Wei, Yixuan Li |
| 2025 | Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan. | Jaemoo Choi, Jaewoong Choi, Dohyun Kwon |
| 2025 | Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation. | Taehyun Cho, Seungyub Han, Seokhun Ju, Dohyeong Kim, Kyungjae Lee, Jungwoo Lee |
| 2025 | Mixed-curvature decision trees and random forests. | Philippe Chlenski, Quentin Chu, Raiyan R. Khan, Kaizhu Du, Antonio Khalil Moretti, Itsik Pe'er |
| 2025 | SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming. | Hong-Ming Chiu, Hao Chen, Huan Zhang, Richard Y. Zhang |
| 2025 | Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models. | Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Susumu Takeuchi |