| Comparing Comparators in Generalization Bounds | Oct 16, 2023 | Generalization Bounds | CodeCode Available | 0 |
| PAC-Bayesian Generalization Bounds for Adversarial Generative Models | Feb 17, 2023 | Dimensionality ReductionGeneralization Bounds | CodeCode Available | 0 |
| Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent | May 23, 2022 | Generalization Bounds | CodeCode Available | 0 |
| A PAC-Bayesian Framework for Optimal Control with Stability Guarantees | Mar 26, 2024 | Generalization Bounds | CodeCode Available | 0 |
| Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization | Oct 3, 2024 | Generalization Bounds | CodeCode Available | 0 |
| Learnability of Competitive Threshold Models | May 8, 2022 | Generalization Bounds | CodeCode Available | 0 |
| Adversarial Transform Particle Filters | Feb 10, 2025 | Generalization BoundsState Space Models | CodeCode Available | 0 |
| Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity | Jan 31, 2023 | Generalization BoundsSpecificity | CodeCode Available | 0 |
| Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach | Apr 16, 2018 | Generalization Bounds | CodeCode Available | 0 |
| Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks | Jul 6, 2021 | BIG-bench Machine LearningDomain Generalization | CodeCode Available | 0 |
