1 citations · 1 across the 3 of their papers we have counts for
4 papers
Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts
TrungKhang Tran, TrungTin Nguyen, Gersende Fort +5
Processing high-volume, streaming data is increasingly common in modern statistics and machine learning, where batch-mode algorithms are often impractical because they require repe…
Ensemble Control Variates
Long M. Nguyen, Christopher Drovandi, Leah F. South
Control variates have become an increasingly popular variance-reduction technique in Bayesian inference. Many broadly applicable control variates are based on the Langevin-Stein op…
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures
Tuan Thai, TrungTin Nguyen, Dat Do +2
Mixture of Experts (MoE) models constitute a widely utilized class of ensemble learning approaches in statistics and machine learning, known for their flexibility and computational…
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
Binh H. Ho, Long Nguyen Chi, TrungTin Nguyen +3
Model-based clustering integrated with variable selection is a powerful tool for uncovering latent structures within complex data. However, its effectiveness is often hindered by c…