Kwangmoo Koh

Kwangmoo Koh Ph.D. Candidate Department of Electrical Engineering Stanford University Advisor: Professor Stephen Boyd

Contact

Packard 243, Stanford, CA 94305
(650) 723-9833
deneb1@stanford.edu

Interests and current research

• Large-scale methods for convex optimization

• Convex optimization, especially interior-point methods for engineering problems

• Machine learning and signal processing

• Operating system, compiler, computer architecture and computer network

Journal Publications

• An interior-point method for large-scale l1-regularized logistic regression
  K. Koh, S.-J. Kim, and S. Boyd

• l1 trend filtering
  S.-J. Kim, K. Koh, S. Boyd, and D. Gorinesvky

• A method for large-scale l1-regularized least squares problems with applications in signal processing and statistics
  S.-J. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky

Software

• GGPLAB, for geometric programming

• l1_logreg, for large-scale l₁-regularized logistic regression

• l1_ls, for large-scale l₁-regularized least-squares

• l1_tf, for l₁ trend filtering