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Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel.
Paul Hagemann
Johannes Hertrich
Fabian Altekrüger
Robert Beinert
Jannis Chemseddine
Gabriele Steidl
Published in:
ICLR (2024)
Keyphrases
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markov chain monte carlo
kernel function
probabilistic model
feature space
probability distribution
active contour model
gradient flows
support vector
distance measure
euclidean distance
kernel methods
reproducing kernel hilbert space
positive definite
data points
distance function
posterior distribution