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20112024
most citedHigh-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity

551 citations · 1.1k across the 33 of their papers we have counts for

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Showing 2015Show all

6 papers · 1 filter

math.PR2015

Persistence of centrality in random growing trees

Varun Jog, Po-Ling Loh

We investigate properties of node centrality in random growing tree models. We focus on a measure of centrality that computes the maximum subtree size of the tree rooted at each no…

math.ST2015★ 55 cited

Confidence Sets for the Source of a Diffusion in Regular Trees

Justin Khim, Po-Ling Loh

We study the problem of identifying the source of a diffusion spreading over a regular tree. When the degree of each node is at least three, we show that it is possible to construc…

math.ST2015

High-dimensional robust precision matrix estimation: Cellwise corruption under -contamination

Po-Ling Loh, Xin Lu Tan

We analyze the statistical consistency of robust estimators for precision matrices in high dimensions. We focus on a contamination mechanism acting cellwise on the data matrix. The…

cs.IT2015★ 32 cited

Information-theoretic bounds for exact recovery in weighted stochastic block models using the Renyi divergence

Varun Jog, Po-Ling Loh

We derive sharp thresholds for exact recovery of communities in a weighted stochastic block model, where observations are collected in the form of a weighted adjacency matrix, and…

cs.IT2015

On model misspecification and KL separation for Gaussian graphical models

Varun Jog, Po-Ling Loh

We establish bounds on the KL divergence between two multivariate Gaussian distributions in terms of the Hamming distance between the edge sets of the corresponding graphical model…

math.ST2015★ 3 cited

Statistical consistency and asymptotic normality for high-dimensional robust M-estimators

Po-Ling Loh

We study theoretical properties of regularized robust M-estimators, applicable when data are drawn from a sparse high-dimensional linear model and contaminated by heavy-tailed dist…