| Generalization error minimization: a new approach to model evaluation and selection with an application to penalized regression | Oct 18, 2016 | Model Selectionregression | —Unverified | 0 | 0 |
| Calibrated Multivariate Regression with Localized PIT Mappings | Sep 17, 2024 | regression | —Unverified | 0 | 0 |
| Generalization error of random features and kernel methods: hypercontractivity and kernel matrix concentration | Jan 26, 2021 | regression | —Unverified | 0 | 0 |
| Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime | May 31, 2021 | regression | —Unverified | 0 | 0 |
| Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes | Dec 1, 2009 | Gaussian Processesregression | —Unverified | 0 | 0 |
| Double Descent and Overfitting under Noisy Inputs and Distribution Shift for Linear Denoisers | May 26, 2023 | Data AugmentationDenoising | —Unverified | 0 | 0 |
| Generalization for Least Squares Regression With Simple Spiked Covariances | Oct 17, 2024 | regression | —Unverified | 0 | 0 |
| Generalization in Kernel Regression Under Realistic Assumptions | Dec 26, 2023 | regression | —Unverified | 0 | 0 |
| Generalization in Supervised Learning Through Riemannian Contraction | Jan 17, 2022 | Generalization Boundsregression | —Unverified | 0 | 0 |
| Equivalence of Learning Algorithms | Jun 10, 2014 | BIG-bench Machine Learningregression | —Unverified | 0 | 0 |
