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| Achieving Distributive Justice in Federated Learning via Uncertainty Quantification | Apr 22, 2025 | EthicsFairness | CodeCode Available | 0 |
| On the Limitations of Fractal Dimension as a Measure of Generalization | Jun 4, 2024 | Generalization BoundsLearning Theory | CodeCode Available | 0 |
| Relative Flatness and Generalization | Jan 3, 2020 | Generalization Bounds | CodeCode Available | 0 |
| Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss | Feb 11, 2020 | Generalization Bounds | CodeCode Available | 0 |
| Implicit Graph Neural Diffusion Networks: Convergence, Generalization, and Over-Smoothing | Aug 7, 2023 | Generalization BoundsGraph Classification | CodeCode Available | 0 |
| Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift | Nov 29, 2020 | Domain AdaptationGeneralization Bounds | CodeCode Available | 0 |
| Consistent Sparse Deep Learning: Theory and Computation | Feb 25, 2021 | Deep LearningGeneralization Bounds | CodeCode Available | 0 |
| Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning | Jun 6, 2022 | Federated LearningGeneralization Bounds | CodeCode Available | 0 |
| Minimum Description Length and Generalization Guarantees for Representation Learning | Feb 5, 2024 | Generalization BoundsRepresentation Learning | CodeCode Available | 0 |
