activity
20142022
most citedSupport recovery without incoherence: A case for nonconvex regularization

4 citations · 9 across the 5 of their papers we have counts for

collaborators

6 papers

math.ST2024

On Differentially Private U Statistics

Kamalika Chaudhuri, Po-Ling Loh, Shourya Pandey +1

We consider the problem of privately estimating a parameter , where , , , are i.i.d. data from some distribution and is a p…

cs.LG20221 cited

On the identifiability of mixtures of ranking models

Xiaomin Zhang, Xucheng Zhang, Po-Ling Loh +1

Mixtures of ranking models are standard tools for ranking problems. However, even the fundamental question of parameter identifiability is not fully understood: the identifiability…

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.ST20153 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…

math.ST20144 cited

Support recovery without incoherence: A case for nonconvex regularization

Po-Ling Loh, Martin J. Wainwright

We demonstrate that the primal-dual witness proof method may be used to establish variable selection consistency and -bounds for sparse regression problems, even when…

stat.ML20141 cited

Concavity of reweighted Kikuchi approximation

Po-Ling Loh, Andre Wibisono

We analyze a reweighted version of the Kikuchi approximation for estimating the log partition function of a product distribution defined over a region graph. We establish sufficien…