Posterior concentration and fast convergence rates for generalized Bayesian learning.
Lam Si Tung HoBinh T. NguyenVu C. DinhDuy M. H. NguyenPublished in: Inf. Sci. (2020)
Keyphrases
- bayesian learning
- convergence rate
- posterior distribution
- probability distribution
- convergence speed
- model selection
- parameter estimation
- learning rate
- bayesian framework
- latent variables
- posterior probability
- hyperparameters
- markov chain monte carlo
- prior knowledge
- number of iterations required
- primal dual
- low memory requirements
- gaussian kernels
- maximum a posteriori
- machine learning
- cross validation
- sample size
- optimization algorithm
- expectation maximization
- particle swarm optimization
- maximum likelihood
- higher order
- probabilistic model
- learning algorithm
- genetic algorithm