Bayesian Sparse learning with preconditioned stochastic gradient MCMC and its applications.
Yating WangWei DengGuang LinPublished in: CoRR (2020)
Keyphrases
- stochastic gradient
- sparse learning
- posterior distribution
- relevance vector machine
- markov chain monte carlo
- posterior probability
- multi task
- bayesian inference
- gaussian processes
- sparse representation
- markov chain
- probability distribution
- monte carlo
- maximum likelihood
- generative model
- latent variables
- bayesian framework
- bayesian networks
- decision trees
- probabilistic model
- learning tasks
- hyperparameters
- particle filter
- gaussian process
- approximate inference
- dimensionality reduction
- support vector machine
- recommender systems