| A unified framework of non-local parametric methods for image denoising | Feb 21, 2024 | DenoisingImage Denoising | —Unverified | 0 |
| The Dimension of Self-Directed Learning | Feb 20, 2024 | Learning Theory | —Unverified | 0 |
| Rigor with Machine Learning from Field Theory to the Poincaré Conjecture | Feb 20, 2024 | Learning Theory | —Unverified | 0 |
| Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures | Feb 19, 2024 | Generalization BoundsLearning Theory | CodeCode Available | 0 |
| Transductive Learning Is Compact | Feb 15, 2024 | Learning TheoryPAC learning | —Unverified | 0 |
| Transductive Active Learning: Theory and Applications | Feb 13, 2024 | Active LearningBayesian Optimization | CodeCode Available | 2 |
| Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features | Feb 12, 2024 | Learning Theory | CodeCode Available | 0 |
| The Complexity of Sequential Prediction in Dynamical Systems | Feb 9, 2024 | Learning TheoryPrediction | —Unverified | 0 |
| Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss | Feb 8, 2024 | Learning Theory | —Unverified | 0 |
| Estimating the Local Learning Coefficient at Scale | Feb 6, 2024 | Learning Theory | CodeCode Available | 0 |
