GCG is an open source Matlab solver for gauge (norm) regularized problems, that are commonly used in sparse coding and compressive sensing. Examples include matrix completion, dictionary learning, and structured sparse estimation.The code includes the implementations used for all experiments in .
Generalized Conditional Gradient for Sparse Estimation
Journal of Machine Learning Research (JMLR)
Under review, 2014. [PDF]
Accelerated Training for Matrix-norm Regularization: A Boosting Approach
Advances in Neural Information Processing Systems (NIPS), 2012. [PDF]