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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.

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/computational-and-statistical-learning-theory-CS-605

Moodle Page

http://go.epfl.ch/CS-605

About this result

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Summary

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/computational-and-statistical-learning-theory-CS-605

Moodle Page

http://go.epfl.ch/CS-605

About this result

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