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Model selection through sparse maximum likelihood estimation for multivariate Gaussian or binary data
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Distributed optimization and statistical learning via the alternating direction method of multipliers
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S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein. Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends in Machine Learning, 3(1):1-122, 2011.
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Covariance selection
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Sparse inverse covariance estimation with the graphical lasso
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Graph implementations for nonsmooth convex programs
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V. D. Blondel, S. P. Boyd, and H. Kimura, editors, Springer-Verlag
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M. C. Grant and S. P. Boyd. Graph implementations for nonsmooth convex programs. In V. D. Blondel, S. P. Boyd, and H. Kimura, editors, Recent Advances in Learning and Control (tribute to M. Vidyasagar), pages 95-110. Springer-Verlag, 2008.
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Segmentation of ARX-models using sum-of-norms regularization
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H. Ohlsson, L. Ljung, and S. Boyd. Segmentation of ARX-models using sum-of-norms regularization. Automatica, 46:1107 - 1111, April 2010.
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Sparsity and smoothness via the fused lasso
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14
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An ADMM algoritm for a class of total variation regularized estimation problems
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B. Wahlberg, S. Boyd, M Annergren, and W. Yang. An ADMM algoritm for a class of total variation regularized estimation problems. SYSID 2012, 2011. Submitted.
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