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UQSay Seminar #38: Maximum Mean Discrepancy, Bayesian integration and kernel herding for space-filling design
… experiments is to predict/interpolate the behaviour of an unknown function f on a compact domain from a few … space-filling design is advisable: typically, points of evaluation spread out across the available space are … We investigate connections between design for integration of f with respect to a measure µ (quadrature design), …Published on: