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20132023
most citedFrequentist coverage and sup-norm convergence rate in Gaussian process regression

36 citations · 92 across the 17 of their papers we have counts for

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9 papers · 1 filter

math.ST2020

Cutoff for exact recovery of Gaussian mixture models

Xiaohui Chen, Yun Yang

We determine the information-theoretic cutoff value on separation of cluster centers for exact recovery of cluster labels in a -component Gaussian mixture model with equal clust…

math.ST20198 cited

Statistical Inference in Mean-Field Variational Bayes

Wei Han, Yun Yang

We conduct non-asymptotic analysis on the mean-field variational inference for approximating posterior distributions in complex Bayesian models that may involve latent variables. W…

math.ST2019

Diffusion -means clustering on manifolds: provable exact recovery via semidefinite relaxations

Xiaohui Chen, Yun Yang

We introduce the {\it diffusion -means} clustering method on Riemannian submanifolds, which maximizes the within-cluster connectedness based on the diffusion distance. The diffu…

math.ST2018

Hanson-Wright inequality in Hilbert spaces with application to -means clustering for non-Euclidean data

Xiaohui Chen, Yun Yang

We derive a dimension-free Hanson-Wright inequality for quadratic forms of independent sub-gaussian random variables in a separable Hilbert space. Our inequality is an infinite-dim…

math.ST20179 cited

On Statistical Optimality of Variational Bayes

Debdeep Pati, Anirban Bhattacharya, Yun Yang

The article addresses a long-standing open problem on the justification of using variational Bayes methods for parameter estimation. We provide general conditions for obtaining opt…

math.ST201736 cited

Frequentist coverage and sup-norm convergence rate in Gaussian process regression

Yun Yang, Anirban Bhattacharya, Debdeep Pati

Gaussian process (GP) regression is a powerful interpolation technique due to its flexibility in capturing non-linearity. In this paper, we provide a general framework for understa…