| 2025 | Conditional diffusions for amortized neural posterior estimation. | Tianyu Chen, Vansh Bansal, James G. Scott |
| 2025 | Continuous Structure Constraint Integration for Robust Causal Discovery. | Lyuzhou Chen, Taiyu Ban, Derui Lyu, Yijia Sun, Kangtao Hu, Xiangyu Wang, Huanhuan Chen |
| 2025 | Optimal downsampling for Imbalanced Classification with Generalized Linear Models. | Yan Chen, Jose H. Blanchet, Krzysztof Dembczynski, Laura Fee Nern, Aaron E. Flores |
| 2025 | Consistent Amortized Clustering via Generative Flow Networks. | Irit Chelly, Roy Uziel, Oren Freifeld, Ari Pakman |
| 2025 | Improving Stochastic Cubic Newton with Momentum. | El Mahdi Chayti, Nikita Doikov, Martin Jaggi |
| 2025 | Credal Two-Sample Tests of Epistemic Uncertainty. | Siu Lun Chau, Antonin Schrab, Arthur Gretton, Dino Sejdinovic, Krikamol Muandet |
| 2025 | Generalization Bounds for Dependent Data using Online-to-Batch Conversion. | Sagnik Chatterjee, Manuj Mukherjee, Alhad Sethi |
| 2025 | Changepoint Estimation in Sparse Dynamic Stochastic Block Models under Near-Optimal Signal Strength. | Shirshendu Chatterjee, Soumendu Sundar Mukherjee, Tamojit Sadhukhan |
| 2025 | Provable Benefits of Task-Specific Prompts for In-context Learning. | Xiangyu Chang, Yingcong Li, Muti Kara, Samet Oymak, Amit Roy-Chowdhury |
| 2025 | Amortized Probabilistic Conditioning for Optimization, Simulation and Inference. | Paul Edmund Chang, Nasrulloh Ratu Bagus Satrio Loka, Daolang Huang, Ulpu Remes, Samuel Kaski, Luigi Acerbi |
| 2025 | Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization. | Deep Chakraborty, Yann LeCun, Tim G. J. Rudner, Erik G. Learned-Miller |
| 2025 | Statistical Guarantees for Unpaired Image-to-Image Cross-Domain Analysis using GANs. | Saptarshi Chakraborty, Peter L. Bartlett |
| 2025 | Permutation Invariant Functions: Statistical Testing, Density Estimation, and Metric Entropy. | Wee Chaimanowong, Ying Zhu |
| 2025 | Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span. | Woojin Chae, Kihyuk Hong, Yufan Zhang, Ambuj Tewari, Dabeen Lee |
| 2025 | From Learning to Optimize to Learning Optimization Algorithms. | Camille Castera, Peter Ochs |
| 2025 | Poisoning Bayesian Inference via Data Deletion and Replication. | Matthieu Carreau, Roi Naveiro, William N. Caballero |
| 2025 | Robust Offline Policy Learning with Observational Data from Multiple Sources. | Aldo Gael Carranza, Susan Athey |
| 2025 | HR-Bandit: Human-AI Collaborated Linear Recourse Bandit. | Junyu Cao, Ruijiang Gao, Esmaeil Keyvanshokooh |
| 2025 | Gaussian Mean Testing under Truncation. | Clment Louis Canonne, Themis Gouleakis, Yuhao Wang, Joy Qiping Yang |
| 2025 | Sparse Activations as Conformal Predictors. | Margarida M. Campos, Joo Clem, Sophia Sklaviadis, Mrio A. T. Figueiredo, Andr F. T. Martins |
| 2025 | Signature Isolation Forest. | Marta Campi, Guillaume Staerman, Gareth W. Peters, Tomoko Masui |
| 2025 | Lower Bounds for Time-Varying Kernelized Bandits. | Xu Cai, Jonathan Scarlett |
| 2025 | Near-optimal algorithms for private estimation and sequential testing of collision probability. | Rbert Istvan Busa-Fekete, Umar Syed |
| 2025 | Consistent Validation for Predictive Methods in Spatial Settings. | David R. Burt, Yunyi Shen, Tamara Broderick |
| 2025 | Robust Gradient Descent for Phase Retrieval. | Alex Buna, Patrick Rebeschini |