Efficient Elastic Net Regularization for Sparse Linear Models

24 May 2015Zachary C. LiptonCharles Elkan

This paper presents an algorithm for efficient training of sparse linear models with elastic net regularization. Extending previous work on delayed updates, the new algorithm applies stochastic gradient updates to non-zero features only, bringing weights current as needed with closed-form updates... (read more)

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