A Universal Approximation Theorem for Mixture of Experts Models

11 February 2016

Papers citing "A Universal Approximation Theorem for Mixture of Experts Models"

12 / 12 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 188 0 0 19 May 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 485 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 88 3 0 29 Aug 2024
Distributed Learning of Mixtures of Experts Faicel Chamroukhi Nhat-Thien Pham FedML 12 0 0 15 Dec 2023
Bayesian data fusion with shared priors Peng Wu Tales Imbiriba Victor Elvira Pau Closas FedML 74 9 0 14 Dec 2022
Mixture of experts models for multilevel data: modelling framework and approximation theory Tsz Chai Fung Spark C. Tseung 42 3 0 30 Sep 2022
Uniform Consistency in Nonparametric Mixture Models Bryon Aragam Ruiyi Yang 64 6 0 31 Aug 2021
Non-asymptotic model selection in block-diagonal mixture of polynomial experts models TrungTin Nguyen Faicel Chamroukhi Hien Nguyen F. Forbes 47 9 0 18 Apr 2021
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures Xiaoting Shao Alejandro Molina Antonio Vergari Karl Stelzner Robert Peharz Thomas Liebig Kristian Kersting BDL TPM 66 35 0 21 May 2019
On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression Dongrui Wu Chin-Teng Lin Jian Huang Zhigang Zeng 38 56 0 25 Mar 2019
Model-Based Clustering and Classification of Functional Data Faicel Chamroukhi Hien Nguyen 53 50 0 01 Mar 2018
An Introduction to the Practical and Theoretical Aspects of Mixture-of-Experts Modeling Hien Nguyen Faicel Chamroukhi MoE 41 7 0 12 Jul 2017