| Explainable Neural Networks with Guarantees: A Sparse Estimation Approach | Jan 2, 2025 | Generalization Bounds | —Unverified | 0 | 0 |
| Explaining generalization in deep learning: progress and fundamental limits | Oct 17, 2021 | Deep LearningGeneralization Bounds | —Unverified | 0 | 0 |
| Detached Error Feedback for Distributed SGD with Random Sparsification | Apr 11, 2020 | Generalization BoundsImage Classification | —Unverified | 0 | 0 |
| Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study | Sep 16, 2022 | Generalization BoundsPolynomial Neural Networks | —Unverified | 0 | 0 |
| Failures of model-dependent generalization bounds for least-norm interpolation | Oct 16, 2020 | Generalization BoundsLearning Theory | —Unverified | 0 | 0 |
| Fairness-aware Federated Learning | Sep 29, 2021 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective | Jun 9, 2025 | FairnessGeneralization Bounds | —Unverified | 0 | 0 |
| Fair Off-Policy Learning from Observational Data | Mar 15, 2023 | Decision MakingFairness | —Unverified | 0 | 0 |
| Fantastic Generalization Measures are Nowhere to be Found | Sep 24, 2023 | Generalization Bounds | —Unverified | 0 | 0 |
| Fast Convergence in Learning Two-Layer Neural Networks with Separable Data | May 22, 2023 | Generalization Bounds | —Unverified | 0 | 0 |
