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

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

4 December 2020

TrungTin Nguyen

Faicel Chamroukhi

Geoffrey J. McLachlan

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

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Title
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 Faicel Chamroukhi Nhat-Thien Pham FedML 24 0 0 15 Dec 2023
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 N. Corsini C. Viroli 43 6 0 01 Jul 2021
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