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X-WR-CALDESC:FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics -Alexander von Humboldt Professorship
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DTSTART;TZID=Europe/Berlin:20210714T160000
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DTSTAMP:20211020T083743Z
CREATED:20211020
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SUMMARY:Learning to benchmark
DESCRIPTION:Speaker: Prof. Dr. Alfred Hero\nAffiliation: University of Michigan, USA\nOrganized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany)\nZoom link\nMeeting ID: 699 8936 4767 | PIN code: 233558\nAbstract. We address the problem of learning an achievable lower bound on classification error from a labeled sample. We establish an optimization framework for this meta-learning problem, which we call benchmark learning. Benchmark learning leads to an accurate data-driven predictor of performance of a Bayes optimal classifier without having to construct the classifier and without assuming any parametric model for the data. The resultant predictor can be used to establish whether it is possible to improve classification performance of a specific classifier. It also yields a stopping rule for sequentially trained classifiers. In addition, The talk will cover relevant background, theory, algorithms, and applications of benchmark learning.\n \n\nJoin this event at LinkedIn\n\n \n
URL:https://dcn.nat.fau.eu/events/learning-to-benchmark/
CATEGORIES:FAU DCN-AvH Seminar
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