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A Fast Second-order Method for Group-Sparse Optimization
Daniel P. Robinson
Department of Industrial and Systems Engineering, Lehigh University, Bethlehem.
Abstract:
I discuss an optimization framework for solving problems with group sparsity inducing regularization. Such regularizers include Lasso (L1), group Lasso, and latent group Lasso. The framework computes iterates by optimizing over small dimensional subspaces, thus keeping the cost per iteration relatively low. Theoretical convergence results and numerical tests on various learning problems will be presented.
Tuesday, March 2, 2021
11:00AM Zoom Meeting ID: 950 6794 9984
News]
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[ People]
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Randolph E. Bank
Philip E. Gill
Michael Holst
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Randolph E. Bank
Philip E. Gill
Michael Holst
Administrative Contact:
[ Click to Send Email ]
Daniel P. Robinson
Department of Industrial and Systems Engineering, Lehigh University, Bethlehem.
Abstract:
I discuss an optimization framework for solving problems with group sparsity inducing regularization. Such regularizers include Lasso (L1), group Lasso, and latent group Lasso. The framework computes iterates by optimizing over small dimensional subspaces, thus keeping the cost per iteration relatively low. Theoretical convergence results and numerical tests on various learning problems will be presented.
Tuesday, March 2, 2021
11:00AM Zoom Meeting ID: 950 6794 9984