On Asymptotic and Finite-Time Optimality of Bayesian Predictors.
Daniil RyabkoPublished in: J. Mach. Learn. Res. (2019)
Keyphrases
- marginal likelihood
- asymptotic optimality
- bayesian learning
- optimal solution
- maximum likelihood
- unit length
- bayesian networks
- data driven
- gaussian processes
- bayesian decision
- computational complexity
- posterior probability
- bayesian estimation
- asymptotically optimal
- finite number
- bayesian methods
- neural network
- learning algorithm
- decision theory
- probabilistic model
- feature selection