560 search results - page 23 / 112 » Level-set methods for convex optimization |
121
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WCE
2007
15 years 4 months ago
2007
—A new method for minimization problem over simplex, as a generalization of a well-known in onedimensional optimization bisection method is proposed. The convergence of the metho...
162
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CORR
2012
Springer
13 years 11 months ago
2012
Springer
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
110
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CORR
2008
Springer
15 years 3 months ago
2008
Springer
We develop and analyze M-estimation methods for divergence functionals and the likelihood ratios of two probability distributions. Our method is based on a non-asymptotic variatio...
135
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COLT
2010
Springer
15 years 1 months ago
2010
Springer
We present a new method for regularized convex optimization and analyze it under both online and stochastic optimization settings. In addition to unifying previously known firstor...
118
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SDM
2009
SIAM
16 years 19 days ago
2009
SIAM
In this paper we explore avenues for improving the reliability of dimensionality reduction methods such as Non-Negative Matrix Factorization (NMF) as interpretive exploratory data...