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Approximations of conditional probability density functions in Lebesgue
  spaces via mixture of experts models
v1v2 (latest)

Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models

4 December 2020
Hien Nguyen
TrungTin Nguyen
Faicel Chamroukhi
Geoffrey J. McLachlan
ArXiv (abs)PDFHTML

Papers citing "Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models"

5 / 5 papers shown
Title
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures
Tuan Thai
TrungTin Nguyen
Dat Do
Nhat Ho
Christopher Drovandi
200
0
0
19 May 2025
Distributed Learning of Mixtures of Experts
Distributed Learning of Mixtures of Experts
Faicel Chamroukhi
Nhat-Thien Pham
FedML
24
0
0
15 Dec 2023
Mixture of experts models for multilevel data: modelling framework and
  approximation theory
Mixture of experts models for multilevel data: modelling framework and approximation theory
Tsz Chai Fung
Spark C. Tseung
52
3
0
30 Sep 2022
Dealing with overdispersion in multivariate count data
Dealing with overdispersion in multivariate count data
N. Corsini
C. Viroli
43
6
0
01 Jul 2021
Non-asymptotic model selection in block-diagonal mixture of polynomial
  experts models
Non-asymptotic model selection in block-diagonal mixture of polynomial experts models
TrungTin Nguyen
Faicel Chamroukhi
Hien Nguyen
F. Forbes
64
9
0
18 Apr 2021
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