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Mean-field approximation, convex hierarchies, and the optimality of correlation rounding: a unified perspective.
Vishesh Jain
Frederic Koehler
Andrej Risteski
Published in:
STOC (2019)
Keyphrases
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convex hull
convex optimization
approximation algorithms
neural network
linear programming
optimal solution
correlation coefficient
mixed integer
reinforcement learning
np hard
multistage
hierarchical structure
unified model
high correlation
convexity properties