Active Learning of Model Evidence Using Bayesian Quadrature

NeurIPS 2012 Michael OsborneRoman GarnettZoubin GhahramaniDavid K. DuvenaudStephen J. RobertsCarl E. Rasmussen

Numerical integration is an key component of many problems in scientific computing, statistical modelling, and machine learning. Bayesian Quadrature is a model-based method for numerical integration which, relative to standard Monte Carlo methods, offers increased sample efficiency and a more robust estimate of the uncertainty in the estimated integral... (read more)

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