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math.OC2016★ 4 cited
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization
Xingguo Li, Tuo Zhao, Raman Arora +2
The cyclic block coordinate descent-type (CBCD-type) methods, which performs iterative updates for a few coordinates (a block) simultaneously throughout the procedure, have shown r…
math.OC2016★ 48 cited
Near-Optimal Stochastic Approximation for Online Principal Component Estimation
Chris Junchi Li, Mengdi Wang, Han Liu +1
Principal component analysis (PCA) has been a prominent tool for high-dimensional data analysis. Online algorithms that estimate the principal component by processing streaming dat…