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Non-asymptotic model selection in block-diagonal mixture of polynomial
  experts models
v1v2 (latest)

Non-asymptotic model selection in block-diagonal mixture of polynomial experts models

18 April 2021
TrungTin Nguyen
Faicel Chamroukhi
Hien Nguyen
F. Forbes
ArXiv (abs)PDFHTML

Papers citing "Non-asymptotic model selection in block-diagonal mixture of polynomial experts models"

18 / 18 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
171
0
0
19 May 2025
Approximations of conditional probability density functions in Lebesgue
  spaces via mixture of experts models
Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models
Hien Nguyen
TrungTin Nguyen
Faicel Chamroukhi
Geoffrey J. McLachlan
35
22
0
04 Dec 2020
Rejoinder on: Minimal penalties and the slope heuristics: a survey
Rejoinder on: Minimal penalties and the slope heuristics: a survey
Sylvain Arlot
49
46
0
30 Sep 2019
Regularized Estimation and Feature Selection in Mixtures of
  Gaussian-Gated Experts Models
Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Models
Faicel Chamroukhi
Florian Lecocq
Hien Nguyen
TPM
14
4
0
12 Sep 2019
Convergence Rates for Gaussian Mixtures of Experts
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
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
Nonlinear network-based quantitative trait prediction from transcriptomic data
Emilie Devijver
M. Gallopin
Émeline Perthame
58
8
0
26 Jan 2017
A Universal Approximation Theorem for Mixture of Experts Models
A Universal Approximation Theorem for Mixture of Experts Models
Hien Nguyen
Luke R. Lloyd‐Jones
Geoffrey J. McLachlan
60
41
0
11 Feb 2016
Block-diagonal covariance selection for high-dimensional Gaussian
  graphical models
Block-diagonal covariance selection for high-dimensional Gaussian graphical models
Emilie Devijver
M. Gallopin
60
43
0
12 Nov 2015
Joint rank and variable selection for parsimonious estimation in a
  high-dimensional finite mixture regression model
Joint rank and variable selection for parsimonious estimation in a high-dimensional finite mixture regression model
Emilie Devijver
61
11
0
02 Jan 2015
Hyper-Spectral Image Analysis with Partially-Latent Regression and
  Spatial Markov Dependencies
Hyper-Spectral Image Analysis with Partially-Latent Regression and Spatial Markov Dependencies
Antoine Deleforge
F. Forbes
Silèye O. Ba
Radu Horaud
32
13
0
30 Sep 2014
Model-based regression clustering for high-dimensional data. Application
  to functional data
Model-based regression clustering for high-dimensional data. Application to functional data
Emilie Devijver
63
20
0
04 Sep 2014
Finite mixture regression: A sparse variable selection by model
  selection for clustering
Finite mixture regression: A sparse variable selection by model selection for clustering
Emilie Devijver
115
26
0
04 Sep 2014
Adaptive Bayesian Estimation of Conditional Densities
Adaptive Bayesian Estimation of Conditional Densities
Andriy Norets
D. Pati
61
36
0
22 Aug 2014
High-Dimensional Regression with Gaussian Mixtures and Partially-Latent
  Response Variables
High-Dimensional Regression with Gaussian Mixtures and Partially-Latent Response Variables
Antoine Deleforge
F. Forbes
Radu Horaud
53
84
0
10 Aug 2013
Convergence of latent mixing measures in finite and infinite mixture
  models
Convergence of latent mixing measures in finite and infinite mixture models
X. Nguyen
122
185
0
15 Sep 2011
Conditional Density Estimation by Penalized Likelihood Model Selection
  and Applications
Conditional Density Estimation by Penalized Likelihood Model Selection and Applications
Serge Cohen
E. L. Pennec
116
30
0
10 Mar 2011
An l1-Oracle Inequality for the Lasso
An l1-Oracle Inequality for the Lasso
P. Massart
C. Meynet
159
21
0
27 Jul 2010
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