Spike and slab variational Bayes for high dimensional logistic regression.
Kolyan RayBotond SzabóGabriel ClaraPublished in: NeurIPS (2020)
Keyphrases
- logistic regression
- variational bayes
- high dimensional
- hyperparameters
- latent variables
- bayesian inference
- support vector
- gaussian mixture model
- free energy
- decision trees
- posterior distribution
- dimensionality reduction
- high dimensional data
- latent dirichlet allocation
- feature space
- log likelihood
- low dimensional
- naive bayes
- loss function
- exponential family
- parameter space
- nearest neighbor
- model selection
- probabilistic model
- cross validation
- gaussian process
- data analysis
- dimension reduction
- sample size
- topic models
- bayesian framework
- prior information
- probability distribution
- classification accuracy
- em algorithm
- maximum likelihood
- information extraction
- data points