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1602.03683
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A Universal Approximation Theorem for Mixture of Experts Models
11 February 2016
Hien Nguyen
Luke R. Lloyd‐Jones
Geoffrey J. McLachlan
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Papers citing
"A Universal Approximation Theorem for Mixture of Experts Models"
5 / 5 papers shown
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
137
0
0
19 May 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
428
5
0
10 Mar 2025
Gradient-free variational learning with conditional mixture networks
Conor Heins
Hao Wu
Dimitrije Marković
Alexander Tschantz
Jeff Beck
Christopher L. Buckley
BDL
63
3
0
29 Aug 2024
Functional Mixture Discriminant Analysis with hidden process regression for curve classification
Faicel Chamroukhi
H. Glotin
Allou Samé
45
22
0
25 Dec 2013
Approximation of conditional densities by smooth mixtures of regressions
Andriy Norets
98
25
0
04 Oct 2010
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