TSGS3VM uses triply stochastic gradients to scale semi-supervised SVM training with a convergence guarantee to a stationary point.
Stochastic first-and zeroth-order methods for non- convex stochastic programming
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Scalable Semi-Supervised SVM via Triply Stochastic Gradients
TSGS3VM uses triply stochastic gradients to scale semi-supervised SVM training with a convergence guarantee to a stationary point.