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New Directions in Property Testing | Richard M. Karp Distinguished Lecture

Wednesday 15:30 Los Angeles (GMT-7)

Recording available

Berkeley, United States

Recording

58 min

Abstract

Rocco Servedio surveys algorithms that determine whether very large objects possess a property, or are far from having it, by examining only a small part. The lecture covers progress on classic problems and newer testing frameworks motivated by machine-learning theory and high-dimensional data analysis.

Topics

large objectsclassic problemstesting frameworksmachine-learning theoryhigh-dimensional data analysis

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