| A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning | Oct 6, 2020 | BIG-bench Machine LearningGeneralization Bounds | —Unverified | 0 | 0 |
| f-Domain-Adversarial Learning: Theory and Algorithms for Unsupervised Domain Adaptation with Neural Networks | Jan 1, 2021 | Domain AdaptationGeneralization Bounds | —Unverified | 0 | 0 |
| Classification with Deep Neural Networks and Logistic Loss | Jul 31, 2023 | Binary ClassificationClassification | —Unverified | 0 | 0 |
| Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes | May 21, 2025 | Generalization BoundsMeta-Learning | —Unverified | 0 | 0 |
| Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics | Oct 5, 2019 | Deep LearningGeneralization Bounds | —Unverified | 0 | 0 |
| A note on generalization bounds for losses with finite moments | Mar 25, 2024 | Generalization Bounds | —Unverified | 0 | 0 |
| Generalization Error Bounds of Gradient Descent for Learning Over-parameterized Deep ReLU Networks | Feb 4, 2019 | Generalization Bounds | —Unverified | 0 | 0 |
| Fast Convergence in Learning Two-Layer Neural Networks with Separable Data | May 22, 2023 | Generalization Bounds | —Unverified | 0 | 0 |
| Fantastic Generalization Measures are Nowhere to be Found | Sep 24, 2023 | Generalization Bounds | —Unverified | 0 | 0 |
| Fair Off-Policy Learning from Observational Data | Mar 15, 2023 | Decision MakingFairness | —Unverified | 0 | 0 |
