| Maximum-Likelihood Quantum State Tomography by Soft-Bayes | Dec 31, 2020 | Learning TheoryQuantum State Tomography | —Unverified | 0 |
| Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes | Nov 16, 2022 | Learning TheoryPAC learning | —Unverified | 0 |
| A PAC Approach to Application-Specific Algorithm Selection | Nov 23, 2015 | Learning Theory | —Unverified | 0 |
| Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network | Sep 25, 2019 | Learning Theory | —Unverified | 0 |
| Compression, Generalization and Learning | Jan 30, 2023 | Learning Theoryvalid | —Unverified | 0 |
| Compressive Learning for Semi-Parametric Models | Oct 22, 2019 | ClusteringLearning Theory | —Unverified | 0 |
| Computabilities of Validity and Satisfiability in Probability Logics over Finite and Countable Models | Oct 12, 2014 | Learning Theory | —Unverified | 0 |
| Computable learning of natural hypothesis classes | Jul 23, 2024 | Learning Theory | —Unverified | 0 |
| A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design | Aug 19, 2019 | Deep Reinforcement LearningLearning Theory | —Unverified | 0 |
| A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms | Jun 20, 2024 | Learning TheoryQ-Learning | —Unverified | 0 |
