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CAM Colloquium - Peter Frazier: Optimal Learning for Molecular Discovery
Zi Wang - Bayesian Optimization for Global Optimization of Expensive Black-box Functions
Why Bayesian Optimization Works So Well
Peter I. Frazier (Cornell University) - Black-box Optimization for Humans with Unknown Preferences
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Last Updated: October 27, 2026
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A Google TechTalk, presented by Abstract: The knowledge gradient (KG) is a class of Time: Wednesday, Nov 19, 12:30-1:30 pm Speaker: CPSC 330: Applied Machine Learning at the University of British Columbia, as taught in Sep-Dec 2020. For course materials, see ... Machine Learning for Physics and the Physics of Learning 2019 Workshop II: Interpretable Learning in Physical Sciences ... In this video, I'll show you how Friday, October 31, 2014 Scientists use laboratory experiments to search for molecules with desirable properties, e.g., that make ... This talk was held on October 31, 2019 as a part of the MLFL series, hosted by the Center for Data Science, UMass Amherst.
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