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LaRank, SGD-QN - Fast Optimizers for Linear SVM
Published on 2008-09-016431 Views
Originally proposed for solving multiclass SVM, the LaRank algorithm is a dual coordinate ascent algorithm relying on a randomized exploration inspired by the perceptron algorithm [Bordes05, Bordes07]