Search Machine Learning Repository: @inproceedings{icml2014c1_shalev-shwartz14,
    Publisher = {JMLR Workshop and Conference Proceedings},
    Title = {Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization},
    Url = {http://jmlr.org/proceedings/papers/v32/shalev.pdf},
    Abstract = {We introduce a proximal version of the stochastic dual coordinate ascent method and show how to accelerate the method using an inner-outer iteration procedure. We analyze the runtime of the framework and obtain rates that improve state-of-the-art results for various key machine learning optimization problems including SVM, logistic regression, ridge regression, Lasso, and multiclass SVM. Experiments validate our theoretical findings.},
    Author = {Shai Shalev-shwartz and Tong Zhang},
    Editor = {Tony Jebara and Eric P. Xing},
    Year = {2014},
    Booktitle = {Proceedings of the 31st International Conference on Machine Learning (ICML-14)},
    Pages = {64-72}
   }