Neural Generative Models for Global Optimization with Gradients.
Louis FauryFlavian VasileClément CalauzènesOlivier FercoqPublished in: CoRR (2018)
Keyphrases
- global optimization
- generative model
- probabilistic model
- particle swarm optimization
- discriminative learning
- mixture model
- prior knowledge
- discriminative models
- bayesian framework
- neural network
- em algorithm
- constrained global optimization
- conditional random fields
- object categories
- global search
- representational power
- discriminative methods
- topic models
- semi supervised
- graphical models
- generative and discriminative models
- maximum entropy principle
- hierarchical hidden markov models
- expectation maximization
- denoising
- bayesian networks
- computer vision