But How Does It Work in Theory? Linear SVM with Random Features

12 September 2018

Papers citing "But How Does It Work in Theory? Linear SVM with Random Features"

7 / 7 papers shown

Title
Tensor Sketch: Fast and Scalable Polynomial Kernel Approximation Ninh Pham Rasmus Pagh 111 0 0 13 May 2025
Optimal Kernel Quantile Learning with Random Features Caixing Wang Xingdong Feng 94 1 0 24 Aug 2024
Generalization Properties of Learning with Random Features Alessandro Rudi Lorenzo Rosasco MLT 68 330 0 14 Feb 2016
On the Error of Random Fourier Features Danica J. Sutherland J. Schneider 72 189 0 09 Jun 2015
Optimal Rates for Random Fourier Features Bharath K. Sriperumbudur Z. Szabó 67 130 0 06 Jun 2015
Scalable Kernel Methods via Doubly Stochastic Gradients Bo Dai Bo Xie Niao He Yingyu Liang Anant Raj Maria-Florina Balcan Le Song 114 230 0 21 Jul 2014
Testing for Homogeneity with Kernel Fisher Discriminant Analysis Zaïd Harchaoui Francis R. Bach Eric Moulines 101 118 0 07 Apr 2008