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Automated Spectral Kernel Learning

Automated Spectral Kernel Learning

11 September 2019
Jian Li
Yong Liu
Weiping Wang
ArXivPDFHTML

Papers citing "Automated Spectral Kernel Learning"

15 / 15 papers shown
Title
Functional Variational Bayesian Neural Networks
Functional Variational Bayesian Neural Networks
Shengyang Sun
Guodong Zhang
Jiaxin Shi
Roger C. Grosse
BDL
52
239
0
14 Mar 2019
Spatial Mapping with Gaussian Processes and Nonstationary Fourier
  Features
Spatial Mapping with Gaussian Processes and Nonstationary Fourier Features
Jean-François Ton
Seth Flaxman
Dino Sejdinovic
Samir Bhatt
GP
58
53
0
15 Nov 2017
Non-Stationary Spectral Kernels
Non-Stationary Spectral Kernels
Sami Remes
Markus Heinonen
Samuel Kaski
48
102
0
24 May 2017
Orthogonal Random Features
Orthogonal Random Features
Felix X. Yu
A. Suresh
K. Choromanski
D. Holtmann-Rice
Sanjiv Kumar
86
222
0
28 Oct 2016
Structured Prediction Theory Based on Factor Graph Complexity
Structured Prediction Theory Based on Factor Graph Complexity
Corinna Cortes
M. Mohri
Vitaly Kuznetsov
Scott Yang
OOD
49
55
0
20 May 2016
Generalized Spectral Kernels
Generalized Spectral Kernels
Yves-Laurent Kom Samo
Stephen J. Roberts
53
55
0
07 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
87
166
0
29 Dec 2014
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Generalized Singular Value Thresholding
Generalized Singular Value Thresholding
Canyi Lu
Changbo Zhu
Chunyan Xu
Shuicheng Yan
Zhouchen Lin
56
205
0
06 Dec 2014
Local Rademacher Complexity for Multi-label Learning
Local Rademacher Complexity for Multi-label Learning
Chang Xu
Tongliang Liu
Dacheng Tao
Chao Xu
77
81
0
26 Oct 2014
Fastfood: Approximate Kernel Expansions in Loglinear Time
Fastfood: Approximate Kernel Expansions in Loglinear Time
Quoc V. Le
Tamás Sarlós
Alex Smola
92
442
0
13 Aug 2014
Large-scale Multi-label Learning with Missing Labels
Large-scale Multi-label Learning with Missing Labels
Hsiang-Fu Yu
Prateek Jain
Purushottam Kar
Inderjit S. Dhillon
MQ
80
493
0
18 Jul 2013
Gaussian Process Kernels for Pattern Discovery and Extrapolation
Gaussian Process Kernels for Pattern Discovery and Extrapolation
A. Wilson
Ryan P. Adams
GP
66
607
0
18 Feb 2013
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
150
6,624
0
22 Dec 2012
Matrix estimation by Universal Singular Value Thresholding
Matrix estimation by Universal Singular Value Thresholding
S. Chatterjee
419
527
0
06 Dec 2012
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