| Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees | May 22, 2024 | Generalization BoundsMeta Reinforcement Learning | —Unverified | 0 |
| Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis | May 15, 2024 | Generalization Boundsregression | CodeCode Available | 0 |
| PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning | May 10, 2024 | DecoderGeneralization Bounds | CodeCode Available | 1 |
| Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets | Apr 26, 2024 | Generalization Bounds | —Unverified | 0 |
| Improved Generalization Bounds for Communication Efficient Federated Learning | Apr 17, 2024 | Federated LearningGeneralization Bounds | —Unverified | 0 |
| Stability and Generalization in Free Adversarial Training | Apr 13, 2024 | Generalization Bounds | CodeCode Available | 0 |
| Information-Theoretic Generalization Bounds for Deep Neural Networks | Apr 4, 2024 | Generalization Bounds | —Unverified | 0 |
| Generalization Bounds for Message Passing Networks on Mixture of Graphons | Apr 4, 2024 | Generalization Bounds | —Unverified | 0 |
| An Information-Theoretic Framework for Out-of-Distribution Generalization with Applications to Stochastic Gradient Langevin Dynamics | Mar 29, 2024 | Generalization BoundsOut-of-Distribution Generalization | —Unverified | 0 |
| A PAC-Bayesian Framework for Optimal Control with Stability Guarantees | Mar 26, 2024 | Generalization Bounds | CodeCode Available | 0 |