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Fig. 1 | EURASIP Journal on Bioinformatics and Systems Biology

Fig. 1

From: Stochastic convex sparse principal component analysis

Fig. 1

Convergence for synthetic data. Convergence of the proposed stochastic Cvx-SPCA with (Prox-SVRG) and without variance reduction (prox-SGD). Proximal stochastic gradient with variance reduction has a faster convergence rate, since the variance caused by random sampling is bounded in Prox-SVRG

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