| 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 |
| Benign overfitting in ridge regression | Sep 29, 2020 | Generalization BoundsLearning Theory | —Unverified | 0 |
| A Framework of Learning Through Empirical Gain Maximization | Sep 29, 2020 | Learning Theoryregression | —Unverified | 0 |
| Do Deeper Convolutional Networks Perform Better? | Sep 28, 2020 | Learning Theory | —Unverified | 0 |
| Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms | Sep 28, 2020 | Few-Shot LearningLearning Theory | —Unverified | 0 |
| Generalized Leverage Score Sampling for Neural Networks | Sep 21, 2020 | Learning Theoryregression | —Unverified | 0 |
| A Principle of Least Action for the Training of Neural Networks | Sep 17, 2020 | Learning Theory | CodeCode Available | 0 |
| Too Much Information Kills Information: A Clustering Perspective | Sep 16, 2020 | ClusteringLearning Theory | —Unverified | 0 |
