| Adaptive Parameter Selection for Kernel Ridge Regression | Dec 10, 2023 | Learning Theoryregression | —Unverified | 0 | 0 |
| A Characterization of Multiclass Learnability | Mar 3, 2022 | Learning TheoryOpen-Ended Question Answering | —Unverified | 0 | 0 |
| Convergence of Statistical Estimators via Mutual Information Bounds | Dec 24, 2024 | Learning TheoryVariational Inference | —Unverified | 0 | 0 |
| Convergence of Gradient EM on Multi-component Mixture of Gaussians | Dec 1, 2017 | Learning Theory | —Unverified | 0 | 0 |
| Convergence Analysis of Gradient EM for Multi-component Gaussian Mixture | May 23, 2017 | Learning Theory | —Unverified | 0 | 0 |
| Contrastive Learning as Kernel Approximation | Sep 6, 2023 | Contrastive LearningLearning Theory | —Unverified | 0 | 0 |
| A Revision of Neural Tangent Kernel-based Approaches for Neural Networks | Jul 2, 2020 | Few-Shot LearningLearning Theory | —Unverified | 0 | 0 |
| Algorithmic Stability and Uniform Generalization | Dec 1, 2015 | Dimensionality ReductionLearning Theory | —Unverified | 0 | 0 |
| Contrasting random and learned features in deep Bayesian linear regression | Mar 1, 2022 | Learning Theoryregression | —Unverified | 0 | 0 |
| Barren Plateaus in Variational Quantum Computing | May 1, 2024 | Learning TheoryTensor Networks | —Unverified | 0 | 0 |