| 2026 | Eigen-Spike Emergence and Quadratic Equivalents for Conjugate Kernels on Nonlinearly Separable Data. | Collin Cranston, Zhichao Wang, Todd Kemp, Michael W. Mahoney |
| 2026 | Density estimation for Hellinger via minimum-distance estimators: mixtures of Gaussians, log-concave, and more. | Spencer Compton, Jerry Li |
| 2026 | DDPM Score Matching and Distribution Learning (Extended Abstract). | Sinho Chewi, Alkis Kalavasis, Anay Mehrotra, Omar Montasser |
| 2026 | Self-Normalized Martingales and Uniform Regret Bounds for Linear Regression. | Fan Chen, Jian Qian, Alexander Rakhlin, Nikita Zhivotovskiy |
| 2026 | Separating Oblivious and Adaptive Models of Variable Selection (Extended Abstract). | Ziyun Chen, Jerry Li, Kevin Tian, Yusong Zhu |
| 2026 | Faster Newton Methods for Convex and Nonconvex Optimization in Gradient Complexity. | Lesi Chen, Chengchang Liu, Luo Luo, Jingzhao Zhang |
| 2026 | Calibeating Made Simple. | Yurong Chen, Zhiyi Huang, Michael I. Jordan, Haipeng Luo |
| 2026 | Instance-optimal high-precision shadow tomography with few-copy measurements: A metrological approach. | Senrui Chen, Weiyuan Gong, Sisi Zhou |
| 2026 | Information-computation gaps in quantum learning via low-degree likelihood. | Sitan Chen, Weiyuan Gong, Jonas Haferkamp, Yihui Quek |
| 2026 | Is Memorization Helpful or Harmful? Prior Information Sets the Threshold. | Chen Cheng, Rina Foygel Barber |
| 2026 | Optimal Inference Schedules for Masked Diffusion Models. | Sitan Chen, Kevin Cong, Jerry Li |
| 2026 | High-Accuracy Log-Concave Sampling with Stochastic Queries. | Fan Chen, Sinho Chewi, Constantinos Daskalakis, Alexander Rakhlin |
| 2026 | Theoretical Compression Bounds for Wide Multilayer Perceptrons. | Houssam El Cheairi, David Gamarnik, Rahul Mazumder |
| 2026 | A Tight Lower Bound for Non-stochastic Multi-armed Bandits with Expert Advice. | Zachary Chase, Shinji Ito, Idan Mehalel |
| 2026 | A Characterization of List Language Identification in the Limit. | Moses Charikar, Chirag Pabbaraju, Ambuj Tewari |
| 2026 | Language Identification with Succinct Machine-Independent Traces. | Moses Charikar, Jon M. Kleinberg, Chirag Pabbaraju |
| 2026 | Learning Periodic Strategies in Blocking Bandits Is as Hard as Bandits with Switching Costs. | Nicol Cesa-Bianchi, Junya Honda, Yuko Kuroki, Atsushi Miyauchi, Lukas Zierahn |
| 2026 | Phase Transition for Stochastic Block Model with more than √n Communities. | Alexandra Carpentier, Christophe Giraud, Nicolas Verzelen |
| 2026 | Universal priors: solving empirical Bayes via Bayesian inference and pretraining. | Nick Cannella, Anzo Teh, Yanjun Han, Yury Polyanskiy |
| 2026 | Active Learning on Adversarially Corrupted Graphs. | Marco Bressan, Nicol Cesa-Bianchi, Tommaso d'Orsi, Emmanuel Esposito, Silvio Lattanzi |
| 2026 | Learning Conditional Averages. | Marco Bressan, Nataly Brukhim, Nicol Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen |
| 2026 | Learning from Equivalence Queries, Revisited. | Mark Braverman, Roi Livni, Yishay Mansour, Shay Moran, Kobbi Nissim |
| 2026 | Tight list replicability bounds via a novel sphere covering theorem. | Ari Blondal, Hamed Hatami, Pooya Hatami, Chavdar Lalov, Sivan Tretiak |
| 2026 | Partition Function Estimation under Bounded f-Divergence. | Adam Block, Abhishek Shetty |
| 2026 | Characterizing Online and Private Learnability under Distributional Constraints via Generalized Smoothness. | Mose Blanchard, Abhishek Shetty, Alexander Rakhlin |