Spike and slab variational Bayes for high dimensional logistic regression.
Kolyan RayBotond SzabóGabriel ClaraPublished in: CoRR (2020)
Keyphrases
- logistic regression
- variational bayes
- high dimensional
- hyperparameters
- support vector
- bayesian inference
- latent variables
- gaussian mixture model
- latent dirichlet allocation
- decision trees
- posterior distribution
- free energy
- low dimensional
- dimensionality reduction
- parameter space
- naive bayes
- model selection
- loss function
- feature space
- dimension reduction
- topic models
- exponential family
- expectation maximization
- data points
- closed form
- high dimensional data
- log likelihood
- bayesian framework
- gaussian process
- data mining
- data sets
- information extraction
- random sampling
- feature vectors
- information retrieval
- machine learning