Parallel coordinate descent methods for big data optimization

Author:

Richtárik Peter,Takáč Martin

Publisher

Springer Science and Business Media LLC

Subject

General Mathematics,Software

Reference29 articles.

1. Bradley, J.K., Kyrola, A., Bickson, D., Guestrin, C.: Parallel coordinate descent for L1-regularized loss minimization. In ICML (2011)

2. Dhillon, I., Ravikumar, P., Tewari, A.: Nearest neighbor based greedy coordinate descent. NIPS 24, 2160–2168 (2011)

3. Fercoq, O., Richtárik, P.: Smooth minimization of nonsmooth functions with parallel coordinate descent methods. arXiv:1309.5885 (2013)

4. Leventhal, D., Lewis, A.S.: Randomized methods for linear constraints: convergence rates and conditioning. Math. Oper. Res. 35(3), 641–654 (2010)

5. Li, Y., Osher, S.: Coordinate descent optimization for $$l_1$$ l 1 minimization with application to compressed sensing; a greedy algorithm. Inverse Probl. Imaging 3, 487–503 (2009)

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