Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization.

Xu Cai Jonathan Scarlett

Published in: CoRR (2024)

Keyphrases

bayesian estimation
data driven
posterior distribution
bayesian networks
bayesian learning
global optimization
posterior probability
estimation algorithm
gaussian processes
bayesian decision
machine learning
optimization algorithm
kernel function
optimization method
standard deviation
efficient optimization