| On the Importance of Gradient Norm in PAC-Bayesian Bounds | Oct 12, 2022 | Generalization Bounds | —Unverified | 0 | 0 |
| On the Role of Generalization in Transferability of Adversarial Examples | Jun 18, 2022 | Generalization Bounds | —Unverified | 0 | 0 |
| On the sample complexity of parameter estimation in logistic regression with normal design | Jul 9, 2023 | Binary ClassificationGeneralization Bounds | —Unverified | 0 | 0 |
| On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond | Jun 13, 2018 | Generalization Bounds | —Unverified | 0 | 0 |
| On Tighter Generalization Bounds for Deep Neural Networks: CNNs, ResNets, and Beyond | May 1, 2019 | Generalization Bounds | —Unverified | 0 | 0 |
| Optimal deep learning of holomorphic operators between Banach spaces | Jun 20, 2024 | Deep LearningGeneralization Bounds | —Unverified | 0 | 0 |
| Optimal Weak to Strong Learning | Jun 3, 2022 | Generalization Bounds | —Unverified | 0 | 0 |
| Optimization and Adaptive Generalization of Three layer Neural Networks | Sep 29, 2021 | Generalization Bounds | —Unverified | 0 | 0 |
| Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD | Oct 26, 2021 | Generalization Bounds | —Unverified | 0 | 0 |
| Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD | May 21, 2021 | Generalization Bounds | —Unverified | 0 | 0 |