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Tight Semidefinite Programming Relaxations for Polynomial Optimization
Simons Institute for the Theory of Computing
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Lower bounds on the size of semidefinite programming relaxations (1)
Centre for Quantum Technologies
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Lower bounds on the size of semidefinite programming relaxations (3)
Centre for Quantum Technologies
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Lower bounds on the size of semidefinite programming relaxations (4)
Centre for Quantum Technologies
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33:22
The SDP Relaxation for Max-Cut || @ CMU || Lecture 19b of CS Theory Toolkit
Ryan O'Donnell
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LP, SOCP, and Optimization-Free Approaches to Polynomial Optimization
Simons Institute for the Theory of Computing
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James Lee: Lower bounds on the size of SDP relaxations
Hausdorff Center for Mathematics
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Daniel Bienstock - Complexity and exactness in polynomial optimization
Mixed Integer Programming
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Semidefinite Programming Hierarchies I: Convex Relaxations for Hard Optimization Problems
Simons Institute for the Theory of Computing
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NIPS 2016 Workshop on Nonconvex Optimization: Jean Lasserre (Moment-LP and Moment-SOS)
Nonconvex Optimization
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A Faster Interior Point Method for Semidefinite Programming
IEEE FOCS: Foundations of Computer Science
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