Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast SDP algorithms for constraint satisfaction problems
SODA '10 Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete Algorithms
Computational Optimization and Applications
Mirror descent and nonlinear projected subgradient methods for convex optimization
Operations Research Letters
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We introduce an interior proximal algorithm for semidefinite optimization problems and establish its convergence properties. We also study the corresponding dual algorithm leading to an exponential multiplier method for semidefinite programs. Potential applications and extensions are also discussed.