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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…
math.ST2014★ 4 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…