57 citations · 432 across the 81 of their papers we have counts for
4 papers · 2 filters
A Diffusion Process Perspective on Posterior Contraction Rates for Parameters
Wenlong Mou, Nhat Ho, Martin J. Wainwright +2
We analyze the posterior contraction rates of parameters in Bayesian models via the Langevin diffusion process, in particular by controlling moments of the stochastic process and t…
Convergence Rates for Gaussian Mixtures of Experts
Nhat Ho, Chiao-Yu Yang, Michael I. Jordan
We provide a theoretical treatment of over-specified Gaussian mixtures of experts with covariate-free gating networks. We establish the convergence rates of the maximum likelihood…
Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models
Raaz Dwivedi, Nhat Ho, Koulik Khamaru +3
We study a class of weakly identifiable location-scale mixture models for which the maximum likelihood estimates based on i.i.d. samples are known to have lower accuracy than t…
On posterior contraction of parameters and interpretability in Bayesian mixture modeling
Aritra Guha, Nhat Ho, XuanLong Nguyen
We study posterior contraction behaviors for parameters of interest in the context of Bayesian mixture modeling, where the number of mixing components is unknown while the model it…