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| Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss | Feb 11, 2020 | Generalization Bounds | CodeCode Available | 0 | 5 |
| A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent | Sep 19, 2017 | Generalization Bounds | CodeCode Available | 0 | 5 |
| Generalization Bounds for Sparse Random Feature Expansions | Mar 4, 2021 | BIG-bench Machine LearningCompressive Sensing | CodeCode Available | 0 | 5 |
| Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis | May 15, 2024 | Generalization Boundsregression | CodeCode Available | 0 | 5 |
| Generalization Bounds with Data-dependent Fractal Dimensions | Feb 6, 2023 | Generalization BoundsLearning Theory | CodeCode Available | 0 | 5 |
| Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion | Oct 29, 2021 | Generalization Bounds | CodeCode Available | 0 | 5 |
| A PAC-Bayes Analysis of Adversarial Robustness | Feb 19, 2021 | Adversarial RobustnessGeneralization Bounds | CodeCode Available | 0 | 5 |
| Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability | Sep 27, 2022 | Generalization BoundsImage Retrieval | CodeCode Available | 0 | 5 |
| Achieving Distributive Justice in Federated Learning via Uncertainty Quantification | Apr 22, 2025 | EthicsFairness | CodeCode Available | 0 | 5 |
