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Scalable Training of L1-regularized Log-linear Models
Published on Feb 4, 20257670 Views
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be used for an L1-regulari