regularized least square

Classification in the high dimensional Anisotropic mixture framework: A new take on Robust Interpolation JMLR 2025 Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees ICLR 2025 Training Lipschitz Continuous Operators Using Reproducing Kernels L4DC 2022 Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares NeurIPS 2021 Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization NeurIPS 2020 A Universal Analysis of Large-Scale Regularized Least Squares Solutions NeurIPS 2017 Distributed Learning with Regularized Least Squares JMLR 2017 RLScore: Regularized Least-Squares Learners JMLR 2016 Without-Replacement Sampling for Stochastic Gradient Methods NeurIPS 2016 Improving Image Restoration With Soft-Rounding ICCV 2015 GURLS: A Least Squares Library for Supervised Learning JMLR 2013 Stability and Hypothesis Transfer Learning ICML 2013 A Family of Penalty Functions for Structured Sparsity NeurIPS 2010 Learning with Consistency between Inductive Functions and Kernels NeurIPS 2008 Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space NeurIPS 2006 Infinite-σ Limits For Tikhonov Regularization JMLR 2006