Posterior Consistency for Bayesian Relevance Vector Machines.
Xiao FangMalay GhoshPublished in: J. Mach. Learn. Res. (2023)
Keyphrases
- relevance vector machines
- posterior distribution
- posterior probability
- probability distribution
- bayesian framework
- latent variables
- learning machines
- markov chain monte carlo
- bayesian networks
- policy search
- gaussian process
- gaussian processes
- hyperparameters
- decision theory
- probabilistic model
- feature vectors
- support vector
- reinforcement learning