Exploring Matthew Hoffman Information Based Methods For Bayesian Optimization
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- Michael Gutmann: Bayesian Optimization for Likelihood-Free Inference - GPSS 2016
- The talk presented at Gaussian Process Summer School at Sheffield, on September 16, 2015.
- Abstract: Scientists and engineers in diverse domains need to perform expensive experiments to
- Today we're joined by José Miguel Hernández-Lobato, a university lecturer in machine learning at the University of Cambridge.
- The talk presented at Workshop on Gaussian Processes for Global
In-Depth Information on Matthew Hoffman Information Based Methods For Bayesian Optimization
The talk presented at Workshop on Gaussian Processes for Global Bayesian optimization Talk Title: Learning a Strategy for Adapting a Program Analysis via NIPS 2016 Workshop: Advances in Approximate
This video was recorded as part of the 4th IKZ - FAIRmat winter school, a hybrid event, online and on-site in Berlin, January 23 -25 ...
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