Optimal Learning Rates for Localized SVMs

23 July 2015

Papers citing "Optimal Learning Rates for Localized SVMs"

13 / 13 papers shown

Title
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators Xiucai Ding Rong Ma 98 2 0 20 May 2024
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes Di Wang Yao Wang Shaojie Tang OffRL 136 1 0 21 Feb 2023
Intrinsic Dimension Adaptive Partitioning for Kernel Methods Thomas Hamm Ingo Steinwart 22 3 0 16 Jul 2021
Gradient Boosted Binary Histogram Ensemble for Large-scale Regression H. Hang Tao Huang Yuchao Cai Hanfang Yang Zhouchen Lin 28 5 0 03 Jun 2021
Total Stability of SVMs and Localized SVMs H. Köhler A. Christmann 25 4 0 29 Jan 2021
Adaptive Stopping Rule for Kernel-based Gradient Descent Algorithms Xiangyu Chang Shao-Bo Lin 41 0 0 09 Jan 2020
Realization of spatial sparseness by deep ReLU nets with massive data C. Chui Shao-Bo Lin Bo Zhang Ding-Xuan Zhou 29 23 0 16 Dec 2019
Fast Polynomial Kernel Classification for Massive Data Jinshan Zeng Minrun Wu Shao-Bo Lin Ding-Xuan Zhou TPM 67 5 0 24 Nov 2019
Improved Classification Rates for Localized SVMs Ingrid Blaschzyk Ingo Steinwart 22 5 0 04 May 2019
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences Motonobu Kanagawa Philipp Hennig Dino Sejdinovic Bharath K. Sriperumbudur GP BDL 151 344 0 06 Jul 2018
Distributed learning with regularized least squares Shaobo Lin Xin Guo Ding-Xuan Zhou 171 191 0 11 Aug 2016
Kernel Ridge Regression via Partitioning Rashish Tandon Si Si Pradeep Ravikumar Inderjit Dhillon 13 18 0 05 Aug 2016
Constructive neural network learning Shaobo Lin Jinshan Zeng Xiaoqin Zhang 72 31 0 30 Apr 2016