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Approximations of conditional probability density functions in Lebesgue
  spaces via mixture of experts models
v1v2 (latest)

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

Journal of Statistical Distributions and Applications (JSDA), 2020
4 December 2020
Hien Nguyen
TrungTin Nguyen
Faicel Chamroukhi
Geoffrey J. McLachlan
ArXiv (abs)PDFHTML

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

11 / 11 papers shown
Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency without Model Sweeps
Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency without Model Sweeps
Do Tien Hai
T. T. N. Mai
T. Nguyen
Nhat Ho
Binh T. Nguyen
Christopher Drovandi
165
2
0
14 Oct 2025
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
622
4
0
19 May 2025
CompeteSMoE -- Effective Training of Sparse Mixture of Experts via
  Competition
CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition
Quang Pham
Giang Do
Huy Nguyen
TrungTin Nguyen
Chenghao Liu
...
Binh T. Nguyen
Savitha Ramasamy
Xiaoli Li
Steven C. H. Hoi
Nhat Ho
234
24
0
04 Feb 2024
Optimal Transport Aggregation for Distributed Mixture-of-Experts
Optimal Transport Aggregation for Distributed Mixture-of-Experts
Faicel Chamroukhi
Nhat-Thien Pham
FedML
210
0
0
15 Dec 2023
Towards Convergence Rates for Parameter Estimation in Gaussian-gated
  Mixture of Experts
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of ExpertsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Huy Nguyen
TrungTin Nguyen
Khai Nguyen
Nhat Ho
MoE
405
24
0
12 May 2023
Mixture of experts models for multilevel data: modelling framework and
  approximation theory
Mixture of experts models for multilevel data: modelling framework and approximation theoryNeurocomputing (Neurocomputing), 2022
Tsz Chai Fung
Spark C. Tseung
161
6
0
30 Sep 2022
Functional Mixtures-of-Experts
Functional Mixtures-of-ExpertsStatistics and computing (Stat. Comput.), 2022
Faicel Chamroukhi
Nhat-Thien Pham
V. Hoang
Geoffrey J. McLachlan
344
5
0
04 Feb 2022
Dealing with overdispersion in multivariate count data
Dealing with overdispersion in multivariate count data
N. Corsini
C. Viroli
268
10
0
01 Jul 2021
Non-asymptotic model selection in block-diagonal mixture of polynomial
  experts models
Non-asymptotic model selection in block-diagonal mixture of polynomial experts models
TrungTin Nguyen
Faicel Chamroukhi
Hien Nguyen
F. Forbes
310
11
0
18 Apr 2021
A non-asymptotic approach for model selection via penalization in
  high-dimensional mixture of experts models
A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts modelsElectronic Journal of Statistics (EJS), 2021
TrungTin Nguyen
Hien Nguyen
Faicel Chamroukhi
F. Forbes
392
17
0
06 Apr 2021
Non-asymptotic oracle inequalities for the Lasso in high-dimensional
  mixture of experts
Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts
TrungTin Nguyen
Hien Nguyen
Faicel Chamroukhi
Geoffrey J. McLachlan
708
5
0
22 Sep 2020
1
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