Efficient block-coordinate descent algorithms for the Group Lasso

Author:

Qin Zhiwei,Scheinberg Katya,Goldfarb Donald

Publisher

Springer Science and Business Media LLC

Subject

Software,Theoretical Computer Science

Reference34 articles.

1. Bach, F.: Consistency of the group Lasso and multiple kernel learning. J. Mach. Learn. Res. 9, 1179–1225 (2008)

2. Beck, A., Teboulle, M.: A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J. Imag. Sci. 2(1), 183–202 (2009)

3. van den Berg, E., Friedlander, M.: Joint-sparse recovery from multiple measurements. arXiv 904 (2009)

4. van den Berg, E., Friedlander, M.: Sparse Optimization With Least-squares Constraints. Tech. rep., Technical Report TR-2010-02, Department of Computer Science, University of British Columbia, Columbia (2010)

5. van den Berg, E., Schmidt, M., Friedlander, M., Murphy, K.: Group sparsity via linear-time projection. Tech. rep., Technical Report TR-2008-09, Department of Computer Science, University of British Columbia, Columbia (2008)

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