A Conditional Gradient Framework for Composite Convex Minimization with 
Applications to Semidefinite Programming

Yurtsever, A.; Fercoq, O.; Locatello, F.; Cevher, V.

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A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming

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Locatello, F.
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Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Yurtsever, A., Fercoq, O., Locatello, F., & Cevher, V. (2018). A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming. In J. Dy, & A. Krause (Eds.), Proceedings of the 35th International Conference on Machine Learning (pp. 5727-5736). PMLR. Retrieved from http://proceedings.mlr.press/v80/yurtsever18a.html.

Cite as: https://hdl.handle.net/21.11116/0000-0003-860E-7

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