| Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes | May 21, 2025 | Generalization BoundsMeta-Learning | —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 |
| Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients | Oct 11, 2023 | Federated LearningGeneralization Bounds | —Unverified | 0 | 0 |
| Federated Variational Inference: Towards Improved Personalization and Generalization | May 23, 2023 | Bayesian InferenceFederated Learning | —Unverified | 0 | 0 |
| Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent | Jun 15, 2020 | Generalization Bounds | —Unverified | 0 | 0 |
| Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random | May 24, 2024 | Generalization BoundsMissing Values | —Unverified | 0 | 0 |
| Fine-grained Generalization Analysis of Vector-valued Learning | Apr 29, 2021 | Extreme Multi-Label ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Fine-grained Generalization Analysis of Structured Output Prediction | May 31, 2021 | Generalization BoundsPrediction | —Unverified | 0 | 0 |
| Formal limitations of sample-wise information-theoretic generalization bounds | May 13, 2022 | Generalization Bounds | —Unverified | 0 | 0 |
| Foundations of Coupled Nonlinear Dimensionality Reduction | Sep 29, 2015 | Dimensionality ReductionGeneralization Bounds | —Unverified | 0 | 0 |
