Convergence rates of Kernel Conjugate Gradient for random design regression

8 July 2016

Papers citing "Convergence rates of Kernel Conjugate Gradient for random design regression"

15 / 15 papers shown

Title
Comparing regularisation paths of (conjugate) gradient estimators in ridge regression Laura Hucker Markus Reiß Thomas Stark 82 1 0 07 Mar 2025
Convergence Analysis of Kernel Conjugate Gradient for Functional Linear Regression Naveen Gupta And S. SIVANANTHAN Bharath K. Sriperumbudur 55 1 0 04 Oct 2023
An extended latent factor framework for ill-posed linear regression G. Finocchio Tatyana Krivobokova 70 2 0 17 Jul 2023
Random Smoothing Regularization in Kernel Gradient Descent Learning Liang Ding Tianyang Hu Jiahan Jiang Donghao Li Wei Cao Yuan Yao 74 6 0 05 May 2023
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes Di Wang Yao Wang Shaojie Tang OffRL 151 1 0 21 Feb 2023
From inexact optimization to learning via gradient concentration Bernhard Stankewitz Nicole Mücke Lorenzo Rosasco 88 5 0 09 Jun 2021
Analyzing the discrepancy principle for kernelized spectral filter learning algorithms Alain Celisse Martin Wahl 65 18 0 17 Apr 2020
Distributed Learning with Dependent Samples Zirui Sun Shao-Bo Lin 58 7 0 10 Feb 2020
The Statistical Complexity of Early-Stopped Mirror Descent Tomas Vaskevicius Varun Kanade Patrick Rebeschini 90 23 0 01 Feb 2020
Adaptive Stopping Rule for Kernel-based Gradient Descent Algorithms Xiangyu Chang Shao-Bo Lin 62 0 0 09 Jan 2020
Kernel Conjugate Gradient Methods with Random Projections Bailey Kacsmar Douglas R Stinson 61 4 0 05 Nov 2018
Analysis of regularized Nyström subsampling for regression functions of low smoothness Shuai Lu Peter Mathé S. Pereverzyev 75 18 0 03 Jun 2018
Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes Loucas Pillaud-Vivien Alessandro Rudi Francis R. Bach 183 103 0 25 May 2018
Accelerate Stochastic Subgradient Method by Leveraging Local Growth Condition Yi Tian Xu Qihang Lin Tianbao Yang 149 11 0 04 Jul 2016
Optimal Rates For Regularization Of Statistical Inverse Learning Problems Gilles Blanchard Nicole Mücke 493 144 0 14 Apr 2016