| Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate | Nov 4, 2020 | Learning Theory | —Unverified | 0 |
| Geometry Perspective Of Estimating Learning Capability Of Neural Networks | Nov 3, 2020 | Learning Theory | —Unverified | 0 |
| A Learning Theoretic Perspective on Local Explainability | Nov 2, 2020 | BIG-bench Machine LearningInterpretable Machine Learning | —Unverified | 0 |
| Toward Better Generalization Bounds with Locally Elastic Stability | Oct 27, 2020 | Generalization BoundsLearning Theory | —Unverified | 0 |
| Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability | Oct 26, 2020 | Binary ClassificationLearning Theory | —Unverified | 0 |
| 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 |
