| Uniform convergence may be unable to explain generalization in deep learning | Feb 13, 2019 | Deep LearningGeneralization Bounds | CodeCode Available | 0 |
| Towards Size-Independent Generalization Bounds for Deep Operator Nets | May 23, 2022 | BIG-bench Machine LearningGeneralization Bounds | CodeCode Available | 0 |
| Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees | Jun 6, 2022 | Generalization Boundsimage-classification | CodeCode Available | 0 |
| Robust Generalization despite Distribution Shift via Minimum Discriminating Information | Jun 8, 2021 | Generalization BoundsOff-policy evaluation | CodeCode Available | 0 |
| Approximation and Learning with Deep Convolutional Models: a Kernel Perspective | Feb 19, 2021 | Additive modelsGeneralization Bounds | CodeCode Available | 0 |
| Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability | Feb 12, 2021 | Generalization BoundsMeta-Learning | CodeCode Available | 0 |
| Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks | Jul 15, 2023 | Continual LearningGeneralization Bounds | CodeCode Available | 0 |
| Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of Margin Dynamics | Oct 8, 2018 | Generalization Bounds | CodeCode Available | 0 |
| A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent | Sep 19, 2017 | Generalization Bounds | CodeCode Available | 0 |
| On Cold Posteriors of Probabilistic Neural Networks: Understanding the Cold Posterior Effect and A New Way to Learn Cold Posteriors with Tight Generalization Guarantees | Oct 20, 2024 | Bayesian InferenceGeneralization Bounds | CodeCode Available | 0 |
