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4:00 PM
Transfer Learning for data-driven background modelling: Optimal Transport v Classifier Extrapolation
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Tudor Manole
(CMU)
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4:25 PM
Systematic effects versus nuisance parameters
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Richard Lockhart
(SFU)
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4:50 PM
Universal Inference
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Larry Wasserman
(Carnegie Mellon University)
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5:15 PM
Bayesian reflection on Systematics
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James Berger
(Duke University)
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5:40 PM
Partially Bayes : An inter-perspective approach for handling nuisance parameters
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Xiao-Li Meng
(Harvard)
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5:42 PM
Final remarks ** N.B. Summary Talks on Nov 10th **
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Olaf Behnke
(Deutsches Elektronen-Synchrotron (DE))
