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A representer theorem for deep kernel learning

A representer theorem for deep kernel learning

29 September 2017
B. Bohn
M. Griebel
C. Rieger
ArXivPDFHTML

Papers citing "A representer theorem for deep kernel learning"

6 / 6 papers shown
Title
Spectral complexity of deep neural networks
Spectral complexity of deep neural networks
Simmaco Di Lillo
Domenico Marinucci
Michele Salvi
Stefano Vigogna
BDL
82
1
0
15 May 2024
Counterfactual Learning with Multioutput Deep Kernels
Counterfactual Learning with Multioutput Deep Kernels
A. Caron
G. Baio
I. Manolopoulou
BDL
CML
OffRL
25
1
0
20 Nov 2022
A Kernel-Expanded Stochastic Neural Network
A Kernel-Expanded Stochastic Neural Network
Y. Sun
F. Liang
27
5
0
14 Jan 2022
What Kinds of Functions do Deep Neural Networks Learn? Insights from
  Variational Spline Theory
What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory
Rahul Parhi
Robert D. Nowak
MLT
38
70
0
07 May 2021
A unifying representer theorem for inverse problems and machine learning
A unifying representer theorem for inverse problems and machine learning
M. Unser
23
69
0
02 Mar 2019
A representer theorem for deep neural networks
A representer theorem for deep neural networks
M. Unser
35
98
0
26 Feb 2018
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