Bayesian Optimization with Robust Bayesian Neural Networks.

Jost Tobias Springenberg Aaron Klein Stefan Falkner Frank Hutter

Published in: NIPS (2016)

Keyphrases

neural network
bayesian networks
monte carlo sampling
pattern recognition
bayesian estimation
efficient optimization
optimization problems
bayesian learning
bayesian inference
objective function
least squares
global optimization
posterior distribution
gaussian processes
bayesian decision