Convergence Rates for Mixtures of Experts
Apr 1, 2023
TrungTin Nguyen
Postdoctoral Research Fellow
A central theme of my research is data science at the intersection of statistical learning, machine learning and optimization.
Previous
Deep Neural Networks
Publications
Risk Bounds for Mixture Density Estimation on Compact Domains via the h-Lifted Kullback--Leibler Divergence
We consider the problem of estimating probability density functions based on sample data, using a finite mixture of densities from some …
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts
Mixture-of-experts (MoE) model incorporates the power of multiple submodels via gating functions to achieve greater performance in …