| Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data | Oct 23, 2020 | AstronomyClustering | CodeCode Available | 0 |
| Deep Learning is Singular, and That's Good | Oct 22, 2020 | Deep LearningLearning Theory | CodeCode Available | 0 |
| Regularised Least-Squares Regression with Infinite-Dimensional Output Space | Oct 21, 2020 | Learning Theoryregression | —Unverified | 0 |
| Failures of model-dependent generalization bounds for least-norm interpolation | Oct 16, 2020 | Generalization BoundsLearning Theory | —Unverified | 0 |
| Depth-Width Trade-offs for Neural Networks via Topological Entropy | Oct 15, 2020 | Learning Theory | —Unverified | 0 |
| Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems | Oct 8, 2020 | Learning Theory | —Unverified | 0 |
| A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning | Oct 6, 2020 | BIG-bench Machine LearningGeneralization Bounds | —Unverified | 0 |
| Improving Few-Shot Learning through Multi-task Representation Learning Theory | Oct 5, 2020 | Continual LearningFew-Shot Learning | CodeCode Available | 0 |
| A Framework of Learning Through Empirical Gain Maximization | Sep 29, 2020 | Learning Theoryregression | —Unverified | 0 |
| Benign overfitting in ridge regression | Sep 29, 2020 | Generalization BoundsLearning Theory | —Unverified | 0 |
