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Quadrature-based features for kernel approximation

Quadrature-based features for kernel approximation

11 February 2018
Marina Munkhoeva
Yermek Kapushev
Evgeny Burnaev
Ivan Oseledets
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Papers citing "Quadrature-based features for kernel approximation"

7 / 7 papers shown
Title
Fast Summation of Radial Kernels via QMC Slicing
Fast Summation of Radial Kernels via QMC Slicing
Johannes Hertrich
Tim Jahn
Michael Quellmalz
44
5
0
02 Oct 2024
Orthogonal Random Features
Orthogonal Random Features
Felix X. Yu
A. Suresh
K. Choromanski
D. Holtmann-Rice
Sanjiv Kumar
69
221
0
28 Oct 2016
TripleSpin - a generic compact paradigm for fast machine learning
  computations
TripleSpin - a generic compact paradigm for fast machine learning computations
K. Choromanski
Francois Fagan
Cédric Gouy-Pailler
Anne Morvan
Vikas Sindhwani
Jamal Atif
57
7
0
29 May 2016
On the Error of Random Fourier Features
On the Error of Random Fourier Features
Danica J. Sutherland
J. Schneider
65
189
0
09 Jun 2015
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
H. Avron
Vikas Sindhwani
Jiyan Yang
Michael W. Mahoney
59
166
0
29 Dec 2014
High-performance Kernel Machines with Implicit Distributed Optimization
  and Randomization
High-performance Kernel Machines with Implicit Distributed Optimization and Randomization
Vikas Sindhwani
H. Avron
47
23
0
03 Sep 2014
Fastfood: Approximate Kernel Expansions in Loglinear Time
Fastfood: Approximate Kernel Expansions in Loglinear Time
Quoc V. Le
Tamás Sarlós
Alex Smola
71
442
0
13 Aug 2014
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