152
Voted
CORR
2012
Springer
13 years 10 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...
212
Voted
MP
2011
14 years 5 months ago
2011
We present an interior-point penalty method for nonlinear programming (NLP), where the merit function consists of a piecewise linear penalty function (PLPF) and an 2-penalty functi...
112
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CP
2005
Springer
15 years 8 months ago
2005
Springer
We present a method for propagating linear constraints. Our technique exploits the fact that the interior point method converges on a central point of the polytope. A variable assi...