Sobolev Norm Learning Rates for Regularized Least-Squares Algorithm

23 February 2017

Papers citing "Sobolev Norm Learning Rates for Regularized Least-Squares Algorithm"

5 / 105 papers shown

Title
Structure learning via unstructured kernel-based M-regression Xin He Yeheng Ge Xingdong Feng 37 0 0 03 Jan 2019
Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes Loucas Pillaud-Vivien Alessandro Rudi Francis R. Bach 11 99 0 25 May 2018
Efficient kernel-based variable selection with sparsistency Xin He Junhui Wang Shaogao Lv 35 7 0 26 Feb 2018
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms Junhong Lin V. Cevher 28 34 0 22 Jan 2018
Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces Stephen Page Steffen Grunewalder 11 11 0 12 Jun 2017