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On Kernel Derivative Approximation with Random Fourier Features

On Kernel Derivative Approximation with Random Fourier Features

11 October 2018
Z. Szabó
Bharath K. Sriperumbudur
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Papers citing "On Kernel Derivative Approximation with Random Fourier Features"

3 / 3 papers shown
Title
Learning a Fourier Transform for Linear Relative Positional Encodings in
  Transformers
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
K. Choromanski
Shanda Li
Valerii Likhosherstov
Kumar Avinava Dubey
Shengjie Luo
Di He
Yiming Yang
Tamás Sarlós
Thomas Weingarten
Adrian Weller
28
8
0
03 Feb 2023
Structured adaptive and random spinners for fast machine learning
  computations
Structured adaptive and random spinners for fast machine learning computations
Mariusz Bojarski
A. Choromańska
K. Choromanski
Francois Fagan
Cédric Gouy-Pailler
Anne Morvan
Nourhan Sakr
Tamás Sarlós
Jamal Atif
32
35
0
19 Oct 2016
Nonparametric sparsity and regularization
Nonparametric sparsity and regularization
Lorenzo Rosasco
S. Villa
S. Mosci
M. Santoro
A. Verri
91
102
0
13 Aug 2012
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