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 [1].[1] |
Yaoliang Yu, Xinhua Zhang, Dale Schuurmans Generalized Conditional Gradient for Sparse Estimation Journal of Machine Learning Research (JMLR) Under review, 2014. [PDF]
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[2] |
Xinhua Zhang, Yaoliang Yu, Dale Schuurmans Accelerated Training for Matrix-norm Regularization: A Boosting Approach Advances in Neural Information Processing Systems (NIPS), 2012. [PDF]
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