| Non-parametric Binary regression in metric spaces with KL loss | Oct 19, 2020 | Generalization Boundsregression | —Unverified | 0 |
| Failures of model-dependent generalization bounds for least-norm interpolation | Oct 16, 2020 | Generalization BoundsLearning Theory | —Unverified | 0 |
| Selective Classification via One-Sided Prediction | Oct 15, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Minimax Classification with 0-1 Loss and Performance Guarantees | Oct 15, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks | Oct 8, 2020 | Generalization Bounds | —Unverified | 0 |
| Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data | Oct 7, 2020 | Domain AdaptationGeneralization Bounds | —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 |
| Lipschitz Bounded Equilibrium Networks | Oct 5, 2020 | Generalization Boundsimage-classification | —Unverified | 0 |
| Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation | Oct 2, 2020 | Dimensionality ReductionDomain Adaptation | CodeCode Available | 1 |
| Benign overfitting in ridge regression | Sep 29, 2020 | Generalization BoundsLearning Theory | —Unverified | 0 |
