activity
20122020
most citedAnalysis of the Optimization Landscapes for Overcomplete Representation Learning

5 citations · 19 across the 7 of their papers we have counts for

collaborators

10 papers

stat.ML20203 cited

Structures of Spurious Local Minima in -means

Wei Qian, Yuqian Zhang, Yudong Chen

-means clustering is a fundamental problem in unsupervised learning. The problem concerns finding a partition of the data points into clusters such that the within-cluster v…

cs.LG20195 cited

Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning

Jicong Fan, Yuqian Zhang, Madeleine Udell

This paper develops new methods to recover the missing entries of a high-rank or even full-rank matrix when the intrinsic dimension of the data is low compared to the ambient dimen…

cs.LG20195 cited

Analysis of the Optimization Landscapes for Overcomplete Representation Learning

Qing Qu, Yuexiang Zhai, Xiao Li +2

We study nonconvex optimization landscapes for learning overcomplete representations, including learning (i) sparsely used overcomplete dictionaries and (ii) convolutional dictiona…

eess.SP20194 cited

Short-and-Sparse Deconvolution -- A Geometric Approach

Yenson Lau, Qing Qu, Han-Wen Kuo +3

Short-and-sparse deconvolution (SaSD) is the problem of extracting localized, recurring motifs in signals with spatial or temporal structure. Variants of this problem arise in appl…

stat.ML20192 cited

Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities

Wei Qian, Yuqian Zhang, Yudong Chen

This work studies the location estimation problem for a mixture of two rotation invariant log-concave densities. We demonstrate that Least Squares EM, a variant of the EM algorithm…

cs.CV2019

On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution

Yuqian Zhang, Yenson Lau, Han-Wen Kuo +3

Blind deconvolution is the problem of recovering a convolutional kernel and an activation signal from their convolution $\boldsymbol y = \boldsy…