Nonconvex Global Optimization for Latent-Variable Models

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Knowledge Triples

Source Entity	Relationship	Target Entity
Branch and Bound Method	uses	Reformulation Linearization Technique Method
Latent Variables Material	involves	Nonconvex Optimization Method
Local Optimization Method	includes	Gradient Ascent Method
Maximum Likelihood Method	appliesTo	Dependency Parsing Task
Maximum Likelihood Method	formulatedAs	Mixed Integer Quadratic Programming Method
Viterbi EM Method	comparesWith	Branch and Bound Method