1 |
S. Boyd, N. Parikh, E. Chu, B. Pelato, and J. Eckstein, "Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers," Foundations and Trends in Machine Learning, vol. 3, no. 1, pp. 1-122, 2010.
DOI
|
2 |
S. Boyd, and L. Vandenverghe, Convex Optimization, Cambridge University Press, 2004.
|
3 |
T. A. Davis, Direct Methods for Sparse Linear Systems, SIAM, 2006.
|
4 |
S.-J. Kim, K. Koh, S. Boyd, and D. Gorinevsky "L1 Trend Filtering," SIAM Review, vol. 51, no. 2, pp. 339-360, 2009.
DOI
|
5 |
K. Koh, S.-J. Kim, and S. Boyd, "An Interior-point Method for Large-scale L1-regularized logistic regression," Journal of Machine Learning Research, vol. 1, no. 8, pp. 1519-1555, 2007.
|
6 |
R. T. Rockafellar, Convex Analysis, Princeton University Press, 1970.
|
7 |
Y. C. Pati, R. Rezaiifar, and P. S. Krishnaprasad, "Orthogonal Matching Pursuit: Recursive Function Approximation with Application to Wavelet Decomposition," in Proc. 27th Asilomar Conference on Signals, Systems and Computers, pp. 40-44, Nov. 1993.
|