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Course
CS-605: Computational and statistical learning theory
Summary
Statistical learning theory for supervised learning and generalization in PAC and online models (VC theory, MDL/SRM, covering numbers, Radamacher Averages, boosting, compression, stability and connection with strong convexity in Banch spaces); Computational tractability of learning.
Official source
Moodle Page
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