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Risk bounds for aggregated shallow neural networks using Gaussian prior

Risk bounds for aggregated shallow neural networks using Gaussian prior

21 December 2021
L. Tinsi
A. Dalalyan
    BDL
ArXivPDFHTML

Papers citing "Risk bounds for aggregated shallow neural networks using Gaussian prior"

7 / 7 papers shown
Title
Shallow neural network representation of polynomials
Shallow neural network representation of polynomials
A. Beknazaryan
17
0
0
17 Aug 2022
A PAC-Bayes oracle inequality for sparse neural networks
A PAC-Bayes oracle inequality for sparse neural networks
Maximilian F. Steffen
Mathias Trabs
UQCV
19
2
0
26 Apr 2022
Non-Vacuous Generalisation Bounds for Shallow Neural Networks
Non-Vacuous Generalisation Bounds for Shallow Neural Networks
Felix Biggs
Benjamin Guedj
BDL
30
26
0
03 Feb 2022
Learning PAC-Bayes Priors for Probabilistic Neural Networks
Learning PAC-Bayes Priors for Probabilistic Neural Networks
Maria Perez-Ortiz
Omar Rivasplata
Benjamin Guedj
M. Gleeson
Jingyu Zhang
John Shawe-Taylor
M. Bober
J. Kittler
UQCV
56
31
0
21 Sep 2021
Mirror averaging with sparsity priors
Mirror averaging with sparsity priors
A. Dalalyan
Alexandre B. Tsybakov
102
59
0
05 Mar 2010
PAC-Bayesian Bounds for Randomized Empirical Risk Minimizers
PAC-Bayesian Bounds for Randomized Empirical Risk Minimizers
Pierre Alquier
164
58
0
11 Dec 2007
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
148
454
0
03 Dec 2007
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