A non-asymptotic approach for model selection via penalization in
high-dimensional mixture of experts models

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A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models

6 April 2021

TrungTin Nguyen

Faicel Chamroukhi

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Papers citing "A non-asymptotic approach for model selection via penalization in high-dimensional 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 171 0 0 19 May 2025
Convergence Rates for Gaussian Mixtures of Experts Nhat Ho Chiao-Yu Yang Michael I. Jordan 67 43 0 09 Jul 2019
Approximation by finite mixtures of continuous density functions that vanish at infinity TrungTin Nguyen Hien Nguyen Faicel Chamroukhi Geoffrey J. McLachlan 54 74 0 01 Mar 2019
Nonlinear network-based quantitative trait prediction from transcriptomic data Emilie Devijver M. Gallopin Émeline Perthame 58 8 0 26 Jan 2017
High-Dimensional Regression with Gaussian Mixtures and Partially-Latent Response Variables Antoine Deleforge F. Forbes Radu Horaud 55 84 0 10 Aug 2013
Convergence of latent mixing measures in finite and infinite mixture models X. Nguyen 122 185 0 15 Sep 2011
An l1-Oracle Inequality for the Lasso P. Massart C. Meynet 159 21 0 27 Jul 2010
Kullback-Leibler aggregation and misspecified generalized linear models Philippe Rigollet FedML 150 82 0 16 Nov 2009