activity
20152023
most citedA corrected semi-proximal ADMM for multi-block convex optimization and its application to DNN-SDPs

1 citations · 2 across the 5 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

math.OC2018

Subregularity of subdifferential mappings relative to the critical set and KL property of exponent 1/2

Shaohua Pan, Yulan Liu

For a proper extended real-valued function, this work focuses on the relationship between the subregularity of its subdifferential mapping relative to the critical set and its KL p…

math.OC2018

Kurdyka-Lojasiewicz Property of Zero-Norm Composite Functions

Yuqia Wu, Shaohua Pan, Shujun Bi

This paper focuses on a class of zero-norm composite optimization problems. For this class of nonconvex nonsmooth problems, we establish the Kurdyka-Lojasiewicz property of exponen…

math.OC2018

An inexact PAM method for computing Wasserstein barycenter with unknown supports

Yitian Qian, Shaohua Pan

Wasserstein barycenter is the centroid of a collection of discrete probability distributions which minimizes the average of the -Wasserstein distance. This paper focuses on…

stat.ML2018

Equivalent Lipschitz surrogates for zero-norm and rank optimization problems

Yulan Liu, Shujun Bi, Shaohua Pan

This paper proposes a mechanism to produce equivalent Lipschitz surrogates for zero-norm and rank optimization problems by means of the global exact penalty for their equivalent ma…

math.ST2018

GEP-MSCRA for computing the group zero-norm regularized least squares estimator

Shujun Bi, Shaohua Pan

This paper concerns with the group zero-norm regularized least squares estimator which, in terms of the variational characterization of the zero-norm, can be obtained from a mathem…

math.OC2018

Calibrated zero-norm regularized LS estimator for high-dimensional error-in-variables regression

Ting Tao, Shaohua Pan, Shujun Bi

This paper is concerned with high-dimensional error-in-variables regression that aims at identifying a small number of important interpretable factors for corrupted data from many…