Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels

Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels

29 December 2014

Vikas Sindhwani

Michael W. Mahoney

Papers citing "Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels"

17 / 17 papers shown

Title
Fast Summation of Radial Kernels via QMC Slicing Johannes Hertrich Tim Jahn Michael Quellmalz 31 5 0 02 Oct 2024
Deep Semi-Random Features for Nonlinear Function Approximation Kenji Kawaguchi Bo Xie Vikas Verma Le Song 104 15 0 28 Feb 2017
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets Zhiyun Lu Avner May Kuan Liu A. Garakani Dong Guo ... Linxi Fan Michael Collins Brian Kingsbury M. Picheny Fei Sha BDL 65 66 0 14 Nov 2014
Fast Randomized Kernel Methods With Statistical Guarantees A. Alaoui Michael W. Mahoney 60 90 0 02 Nov 2014
High-performance Kernel Machines with Implicit Distributed Optimization and Randomization Vikas Sindhwani H. Avron 26 23 0 03 Sep 2014
Fastfood: Approximate Kernel Expansions in Loglinear Time Quoc V. Le Tamás Sarlós Alex Smola 53 442 0 13 Aug 2014
Optimally-Weighted Herding is Bayesian Quadrature Ferenc Huszár David Duvenaud 35 107 0 09 Aug 2014
Scalable Kernel Methods via Doubly Stochastic Gradients Bo Dai Bo Xie Niao He Yingyu Liang Anant Raj Maria-Florina Balcan Le Song 109 230 0 21 Jul 2014
Compact Random Feature Maps Raffay Hamid Ying Xiao Alex Gittens D. DeCoste 53 86 0 17 Dec 2013
Hilbert Space Embeddings of Predictive State Representations Byron Boots Geoffrey J. Gordon Arthur Gretton 65 95 0 26 Sep 2013
Revisiting the Nystrom Method for Improved Large-Scale Machine Learning Alex Gittens Michael W. Mahoney 86 414 0 07 Mar 2013
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 116 282 0 09 Aug 2012
On the Equivalence between Herding and Conditional Gradient Algorithms Francis R. Bach Simon Lacoste-Julien G. Obozinski 119 169 0 20 Mar 2012
Super-Samples from Kernel Herding Yutian Chen Max Welling Alex Smola 114 335 0 15 Mar 2012
Kernel-based Conditional Independence Test and Application in Causal Discovery Kun Zhang J. Peters Dominik Janzing Bernhard Schölkopf BDL CML 79 618 0 14 Feb 2012
Random Feature Maps for Dot Product Kernels Purushottam Kar H. Karnick 49 255 0 31 Jan 2012
Hilbert space embeddings and metrics on probability measures Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu Bernhard Schölkopf Gert R. G. Lanckriet 147 741 0 30 Jul 2009