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Automated method helps researchers quantify uncertainty in t
Automated method helps researchers quantify uncertainty in t
Automated method helps researchers quantify uncertainty in their predictions
A new technique can help researchers who use Bayesian inference achieve more accurate results more quickly, without a lot of additional work.
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Tamara Broderick ,
Martin Ingram ,
Andrew Gelman ,
Bryan Giordano ,
Us Office Of Naval Research ,
Department Of Electrical Engineering ,
University Of California At Berkeley ,
National Science Foundation ,
Laboratory For Information ,
Columbia University ,
Institute For Data ,
Journal Of Machine Learning Research ,
Electrical Engineering ,
Computer Science ,
Decision Systems ,
Machine Learning ,
Bayesian Inference ,
Sample Average Approximation ,
Eterministic Advi ,
Tadvi ,