Posterior concentration and fast convergence rates for generalized Bayesian learning.
Lam Si Tung HoBinh T. NguyenVu C. DinhDuy NguyenPublished in: CoRR (2021)
Keyphrases
- bayesian learning
- convergence rate
- posterior distribution
- probability distribution
- convergence speed
- latent variables
- model selection
- learning rate
- parameter estimation
- bayesian framework
- primal dual
- gaussian process
- maximum a posteriori
- hyperparameters
- gaussian kernels
- probabilistic model
- markov chain monte carlo
- low memory requirements
- image segmentation
- posterior probability
- closed form
- regression model
- optimization algorithm
- em algorithm
- expectation maximization
- maximum likelihood
- prior knowledge
- pairwise
- feature space
- bayesian networks