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ProBO: a Framework for Using Probabilistic Programming in Bayesian Optimization.
Willie Neiswanger
Kirthevasan Kandasamy
Barnabás Póczos
Jeff Schneider
Eric P. Xing
Published in:
CoRR (2019)
Keyphrases
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probabilistic model
main contribution
information retrieval
data driven
image segmentation
theoretical framework
bayesian inference
risk minimization
case study
programming language
constrained optimization
decision theory
programming course