9 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 1 cited
Impact of Community Structure on Consensus Machine Learning
Bao Huynh, Haimonti Dutta, Dane Taylor
Consensus dynamics support decentralized machine learning for data that is distributed across a cloud compute cluster or across the internet of things. In these and other settings,…
stat.ME2019★ 4 cited
Regularized Estimation and Feature Selection in Mixtures of Generalized Linear Experts
Bao Tuyen Huynh, Thin Nguyen-Van, Faicel Chamroukhi +1
Mixtures of experts (MoE) are conditional mixture models in which both the mixing proportions and the component densities depend on the predictors, and are widely used for regressi…
stat.ML2018★ 9 cited
Regularized Maximum Likelihood Estimation and Feature Selection in Mixtures-of-Experts Models
Faicel Chamroukhi, Bao-Tuyen Huynh
Mixture of Experts (MoE) are successful models for modeling heterogeneous data in many statistical learning problems including regression, clustering and classification. Generally…