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Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic Programming.
Kirthevasan Kandasamy
Willie Neiswanger
Reed Zhang
Akshay Krishnamurthy
Jeff Schneider
Barnabás Póczos
Published in:
CoRR (2018)
Keyphrases
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posterior probability
probabilistic model
markov chain monte carlo
bayesian networks
engineering design
probability distribution
data driven
posterior distribution
neural network
decision trees
design process
bayesian inference
sample size
bayesian framework
random sampling
sampling strategy