| Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning | Mar 25, 2021 | Learning Theoryreinforcement-learning | —Unverified | 0 |
| Risk bounds for reservoir computing | Oct 30, 2019 | Learning Theory | —Unverified | 0 |
| Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm | Mar 28, 2015 | Binary ClassificationLearning Theory | —Unverified | 0 |
| Risk Guarantees for End-to-End Prediction and Optimization Processes | Dec 30, 2020 | Learning TheoryPortfolio Optimization | —Unverified | 0 |
| Robot Learning Theory of Mind through Self-Observation: Exploiting the Intentions-Beliefs Synergy | Oct 17, 2022 | AttributeLearning Theory | —Unverified | 0 |
| Robust Generalization of Quadratic Neural Networks via Function Identification | Sep 22, 2021 | Generalization BoundsLearning Theory | —Unverified | 0 |
| Robust Kernel-based Distribution Regression | Apr 21, 2021 | Learning Theoryregression | —Unverified | 0 |
| Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics | Oct 24, 2019 | Learning Theoryreinforcement-learning | —Unverified | 0 |
| Robust NAS under adversarial training: benchmark, theory, and beyond | Mar 19, 2024 | Learning TheoryNeural Architecture Search | —Unverified | 0 |
| Robust Semi-supervised Learning by Wisely Leveraging Open-set Data | May 11, 2024 | Learning Theory | —Unverified | 0 |