| 2025 | Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model. | Rachel Cummings, Alessandro Epasto, Jieming Mao, Tamalika Mukherjee, Tingting Ou, Peilin Zhong |
| 2025 | Position: Certified Robustness Does Not (Yet) Imply Model Security. | Andrew Craig Cullen, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein |
| 2025 | InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference. | Tianyu Cui, Song-Jun Xu, Artem Moskalev, Shuwei Li, Tommaso Mansi, Mangal Prakash, Rui Liao |
| 2025 | An Augmentation-Aware Theory for Self-Supervised Contrastive Learning. | Jingyi Cui, Hongwei Wen, Yisen Wang |
| 2025 | Calibrating Video Watch-time Predictions with Credible Prototype Alignment. | Chao Cui, Shisong Tang, Fan Li, Jiechao Gao, Hechang Chen |
| 2025 | Improving Soft Unification with Knowledge Graph Embedding Methods. | Xuanming Cui, Chionh Wei Peng, Adriel Kuek, Ser-Nam Lim |
| 2025 | OR-Bench: An Over-Refusal Benchmark for Large Language Models. | Justin Cui, Wei-Lin Chiang, Ion Stoica, Cho-Jui Hsieh |
| 2025 | Enhancing Target-unspecific Tasks through a Features Matrix. | Fangming Cui, Yonggang Zhang, Xuan Wang, Xinmei Tian, Jun Yu |
| 2025 | Human Cognition-Inspired Hierarchical Fuzzy Learning Machine. | Junbiao Cui, Qin Yue, Jianqing Liang, Jiye Liang |
| 2025 | Prediction-Powered E-Values. | Daniel Csillag, Cludio Jos Struchiner, Guilherme Tegoni Goedert |
| 2025 | Constant Stepsize Local GD for Logistic Regression: Acceleration by Instability. | Michael Crawshaw, Blake Woodworth, Mingrui Liu |
| 2025 | Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges. | Alex Crane, Thomas Stanley, Blair D. Sullivan, Nate Veldt |
| 2025 | No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets. | Corinna Coupette, Jeremy Wayland, Emily Simons, Bastian Rieck |
| 2025 | BARNN: A Bayesian Autoregressive and Recurrent Neural Network. | Dario Coscia, Max Welling, Nicola Demo, Gianluigi Rozza |
| 2025 | Learning-Augmented Algorithms for MTS with Bandit Access to Multiple Predictors. | Matei Gabriel Cosa, Marek Elis |
| 2025 | FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference. | Stefano Cortinovis, Francois Caron |
| 2025 | Winner-takes-all for Multivariate Probabilistic Time Series Forecasting. | Adrien Corts, Rmi Rehm, Victor Letzelter |
| 2025 | Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data. | Corinna Cortes, Anqi Mao, Mehryar Mohri, Yutao Zhong |
| 2025 | Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects. | Santiago Cortes-Gomez, Naveen Janaki Raman, Aarti Singh, Bryan Wilder |
| 2025 | Counterfactual Graphical Models: Constraints and Inference. | Juan D. Correa, Elias Bareinboim |
| 2025 | Kinetic Langevin Diffusion for Crystalline Materials Generation. | Franois R. J. Cornet, Federico Bergamin, Arghya Bhowmik, Juan Maria Garcia Lastra, Jes Frellsen, Mikkel N. Schmidt |
| 2025 | Breaking the Quadratic Barrier: Robust Cardinality Sketches for Adaptive Queries. | Edith Cohen, Mihir Singhal, Uri Stemmer |
| 2025 | Algorithms and Hardness for Active Learning on Graphs. | Vincent Cohen-Addad, Silvio Lattanzi, Simon Meierhans |
| 2025 | Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution. | Alex Clinton, Yiding Chen, Jerry Zhu, Kirthevasan Kandasamy |
| 2025 | Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC. | Tyler Clark, Mark Towers, Christine Evers, Jonathon Hare |