PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent

6 Apr 2015Cho-Jui HsiehHsiang-Fu YuInderjit S. Dhillon

Stochastic Dual Coordinate Descent (SDCD) has become one of the most efficient ways to solve the family of $\ell_2$-regularized empirical risk minimization problems, including linear SVM, logistic regression, and many others. The vanilla implementation of DCD is quite slow; however, by maintaining primal variables while updating dual variables, the time complexity of SDCD can be significantly reduced... (read more)

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