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Scalable and Robust Bayesian Inference via the Median Posterior.
Stanislav Minsker
Sanvesh Srivastava
Lizhen Lin
David B. Dunson
Published in:
ICML (2014)
Keyphrases
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bayesian inference
probabilistic model
hyperparameters
markov chain monte carlo
prior information
posterior distribution
bayesian model
variational inference
gaussian process
machine learning
particle filter
statistical inference
gibbs sampler
variational approximation
bayesian framework
hidden variables