Journal of Machine Learning Research · 2009 · 201 citations · 0 references
ComputingComputer ScienceAlgorithmsMachine LearningOptimizationBatch ProcessingLoss FunctionOptimization For Machine LearningRepresentation LearningBatch Gradient DescentLoss MinimizationMini-batch LearningMini-batch TrainingOnline Machine LearningRegularizationRegularized Loss
We describe, analyze, and experiment with a framework for empirical loss minimization with regularization. Our algorithmic framework alternates between two phases. On each iteration we first perfor...