| Sample Efficiency of Data Augmentation Consistency Regularization | Feb 24, 2022 | Data AugmentationGeneralization Bounds | —Unverified | 0 | 0 |
| Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality | Aug 9, 2014 | Causal InferenceGeneralization Bounds | —Unverified | 0 | 0 |
| Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel | Sep 30, 2022 | Generalization Bounds | —Unverified | 0 | 0 |
| Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression | Feb 13, 2025 | Generalization BoundsLearning Theory | —Unverified | 0 | 0 |
| Score-based generative models are provably robust: an uncertainty quantification perspective | May 24, 2024 | Generalization BoundsUncertainty Quantification | —Unverified | 0 | 0 |
| Self-Regularity of Non-Negative Output Weights for Overparameterized Two-Layer Neural Networks | Mar 2, 2021 | Generalization Bounds | —Unverified | 0 | 0 |
| Semi-Supervised Learning with Adversarially Missing Label Information | Dec 1, 2010 | Generalization Boundsparameter estimation | —Unverified | 0 | 0 |
| Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation | Jan 25, 2023 | Audio Source SeparationGeneralization Bounds | —Unverified | 0 | 0 |
| SepIt: Approaching a Single Channel Speech Separation Bound | May 24, 2022 | Audio Source SeparationGeneralization Bounds | —Unverified | 0 | 0 |
| SeWA: Selective Weight Average via Probabilistic Masking | Feb 14, 2025 | Generalization Boundsimage-classification | —Unverified | 0 | 0 |
