2 papers
stat.AP2016
A globally convergent algorithm for lasso-penalized mixture of linear regression models
Luke R. Lloyd-Jones, Hien D. Nguyen, Geoffrey J. McLachlan
Variable selection is an old and pervasive problem in regression analysis. One solution is to impose a lasso penalty to shrink parameter estimates toward zero and perform continuou…
stat.ML2016
A Universal Approximation Theorem for Mixture of Experts Models
Hien D Nguyen, Luke R Lloyd-Jones, Geoffrey J McLachlan
The mixture of experts (MoE) model is a popular neural network architecture for nonlinear regression and classification. The class of MoE mean functions is known to be uniformly co…