2 Throughout the experiments linear classifiers are employed; they are trained by minimizing Equation (1), using a stochastic gradient descent (SGD) algorithm.
the learning rate schedule from PEGASOS is adopted (Shalev-Shwartz et al., 2007), and the modified Huber loss, introduced by Zhang (2004), is chosen as loss function L. 3 SGD receives two hyperparameters as input: the number of iterations T , and the regularization parameter λ.