| Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees | May 22, 2024 | Generalization BoundsMeta Reinforcement Learning | —Unverified | 0 | 0 |
| Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data | Oct 7, 2020 | Domain AdaptationGeneralization Bounds | —Unverified | 0 | 0 |
| Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport | Oct 24, 2022 | Domain AdaptationGeneralization Bounds | —Unverified | 0 | 0 |
| Theoretical understanding of adversarial reinforcement learning via mean-field optimal control | Sep 29, 2021 | Generalization Boundsreinforcement-learning | —Unverified | 0 | 0 |
| Power of Quantum Generative Learning | May 10, 2022 | Generalization Bounds | —Unverified | 0 | 0 |
| The Structured Weighted Violations Perceptron Algorithm | Feb 9, 2016 | Dependency ParsingGeneralization Bounds | —Unverified | 0 | 0 |
| The Structure of Optimal Private Tests for Simple Hypotheses | Nov 27, 2018 | Change Point DetectionGeneralization Bounds | —Unverified | 0 | 0 |
| Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms | Jul 18, 2020 | Federated LearningGeneralization Bounds | —Unverified | 0 | 0 |
| Tight Generalization Bounds for Large-Margin Halfspaces | Feb 19, 2025 | Generalization Bounds | —Unverified | 0 | 0 |
| Tight Generalization Error Bounds for Stochastic Gradient Descent in Non-convex Learning | Jun 23, 2025 | Generalization Bounds | —Unverified | 0 | 0 |
