| Redefining Fitness: Evolution as a Dynamic Learning Process | Mar 12, 2025 | Learning Theory | —Unverified | 0 | 0 |
| Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets | Jul 9, 2020 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 | 0 |
| Regret-Optimal LQR Control | May 4, 2021 | Learning Theory | —Unverified | 0 | 0 |
| Regularised Least-Squares Regression with Infinite-Dimensional Output Space | Oct 21, 2020 | Learning Theoryregression | —Unverified | 0 | 0 |
| Regularization approaches for support vector machines with applications to biomedical data | Oct 29, 2017 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 | 0 |
| Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment | Dec 9, 2021 | Learning Theoryregression | —Unverified | 0 | 0 |
| A Framework of decision-relevant observability: Reinforcement Learning converges under relative ignorability | Apr 10, 2025 | Causal InferenceDecision Making | —Unverified | 0 | 0 |
| Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space | Sep 29, 2021 | Learning Theory | —Unverified | 0 | 0 |
| Representation Learning based and Interpretable Reactor System Diagnosis Using Denoising Padded Autoencoder | Aug 30, 2022 | DenoisingDiagnostic | —Unverified | 0 | 0 |
| Representative Social Choice: From Learning Theory to AI Alignment | Oct 31, 2024 | Decision MakingLanguage Modeling | —Unverified | 0 | 0 |
