Variational Inference of Penalized Regression with Submodular Functions.
Koh TakeuchiYuichi YoshidaYoshinobu KawaharaPublished in: UAI (2019)
Keyphrases
- structure learning
- variational inference
- graphical models
- submodular functions
- probabilistic graphical models
- markov networks
- model selection
- parameter estimation
- posterior distribution
- maximum likelihood
- probabilistic model
- gaussian process
- bayesian inference
- exact inference
- approximate inference
- regression model
- mixture model
- exponential family
- hyperparameters
- variational methods
- topic models
- greedy algorithm
- sample size
- latent dirichlet allocation
- closed form
- cross validation
- hidden variables
- facility location problem
- machine learning
- energy function
- em algorithm
- learning algorithm
- bayesian framework
- first order logic
- generative model
- convex optimization
- missing values
- unsupervised learning
- genetic algorithm