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Generalization Bounds for Sparse Random Feature Expansions

Generalization Bounds for Sparse Random Feature Expansions

4 March 2021
Abolfazl Hashemi
Hayden Schaeffer
Robert Shi
Ufuk Topcu
Giang Tran
Rachel A. Ward
    MLT
ArXivPDFHTML

Papers citing "Generalization Bounds for Sparse Random Feature Expansions"

15 / 15 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
40
5
0
02 Oct 2024
Additive function approximation in the brain
Additive function approximation in the brain
K. Harris
52
13
0
05 Sep 2019
The generalization error of random features regression: Precise
  asymptotics and double descent curve
The generalization error of random features regression: Precise asymptotics and double descent curve
Song Mei
Andrea Montanari
68
631
0
14 Aug 2019
Fine-Grained Analysis of Optimization and Generalization for
  Overparameterized Two-Layer Neural Networks
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks
Sanjeev Arora
S. Du
Wei Hu
Zhiyuan Li
Ruosong Wang
MLT
116
966
0
24 Jan 2019
On Kernel Derivative Approximation with Random Fourier Features
On Kernel Derivative Approximation with Random Fourier Features
Z. Szabó
Bharath K. Sriperumbudur
34
13
0
11 Oct 2018
Gradient Descent Provably Optimizes Over-parameterized Neural Networks
Gradient Descent Provably Optimizes Over-parameterized Neural Networks
S. Du
Xiyu Zhai
Barnabás Póczós
Aarti Singh
MLT
ODL
135
1,261
0
04 Oct 2018
Learning Overparameterized Neural Networks via Stochastic Gradient
  Descent on Structured Data
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data
Yuanzhi Li
Yingyu Liang
MLT
120
652
0
03 Aug 2018
Streaming Kernel PCA with $\tilde{O}(\sqrt{n})$ Random Features
Streaming Kernel PCA with O~(n)\tilde{O}(\sqrt{n})O~(n​) Random Features
Enayat Ullah
Poorya Mianjy
T. V. Marinov
R. Arora
82
20
0
02 Aug 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Arthur Jacot
Franck Gabriel
Clément Hongler
165
3,160
0
20 Jun 2018
Generalization Properties of Learning with Random Features
Generalization Properties of Learning with Random Features
Alessandro Rudi
Lorenzo Rosasco
MLT
58
329
0
14 Feb 2016
Additive Approximations in High Dimensional Nonparametric Regression via
  the SALSA
Additive Approximations in High Dimensional Nonparametric Regression via the SALSA
Kirthevasan Kandasamy
Yaoliang Yu
42
44
0
31 Jan 2016
On the Error of Random Fourier Features
On the Error of Random Fourier Features
Danica J. Sutherland
J. Schneider
60
189
0
09 Jun 2015
Optimal Rates for Random Fourier Features
Optimal Rates for Random Fourier Features
Bharath K. Sriperumbudur
Z. Szabó
48
130
0
06 Jun 2015
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions
M. Fornasier
Karin Schnass
J. Vybíral
64
100
0
18 Aug 2010
Sparse Additive Models
Sparse Additive Models
Pradeep Ravikumar
John D. Lafferty
Han Liu
Larry A. Wasserman
274
571
0
28 Nov 2007
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