The QUadratic Inverse Covariance algorithm (latest release 1.1)
implements the l1 regularized Gaussian maximum likelihood
estimation of the inverse of a covariance matrix.
Download
We implemented the algorithm in C++ and we provide a MEX package and
an R package released under the GNU General Public License version 3 or
later (GPLv3).
Download the MEX package archive and
extract the files. Compile the program using the provided Makefile or
use the MEX compiler as follows:
Please acknowledge the use of the code with a
citation. BibTex records are available for
your convenience.
Sparse Inverse Covariance Matrix Estimation Using Quadratic
Approximation,
Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon,
Pradeep Ravikumar,
Advances in Neural Information Processing Systems, vol. 24, 2011.
Download:
[pdf]
Slides from the SAMSI 2012 workshop: [pdf]
Bug reports and comments are
always appreciated. We would like to know who showed interest in our
work, feel free to contact us.
Updated on
Sep 26, 2012
by Mátyás. Accessed
2140
times.