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20162026
most citedInducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?

21 citations · 78 across the 16 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

math.OC2019★ 16 cited

Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods

Xiao Li, Shixiang Chen, Zengde Deng +3

We consider a class of nonsmooth optimization problems over the Stiefel manifold, in which the objective function is weakly convex in the ambient Euclidean space. Such problems are…

stat.ML2019★ 7 cited

An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA

Shixiang Chen, Shiqian Ma, Lingzhou Xue +1

Sparse principal component analysis (PCA) and sparse canonical correlation analysis (CCA) are two essential techniques from high-dimensional statistics and machine learning for ana…