Mastering Statistical Learning Theory: Insights from Shawe-Taylor & Rivasplata at NeurIPS 2018 πŸ“˜

Discover key concepts of statistical learning theory and how they enhance learning systems. This tutorial highlights essential algorithms and their theoretical foundations from NeurIPS 2018.

Mastering Statistical Learning Theory: Insights from Shawe-Taylor & Rivasplata at NeurIPS 2018 πŸ“˜
Steven Van Vaerenbergh
4.5K views β€’ Dec 9, 2018
Mastering Statistical Learning Theory: Insights from Shawe-Taylor & Rivasplata at NeurIPS 2018 πŸ“˜

About this video

Abstract: The tutorial will showcase what statistical learning theory aims to assess about and hence deliver for learning systems. We will highlight how algorithms can piggy back on its results to improve the performances of learning algorithms as well as to understand their limitations. The tutorial is aimed at those wishing to gain an understanding of the value and role of statistical learning theory in order to hitch a ride on its results.

Speakers: John Shawe-Taylor and Omar Rivasplata

Slides: https://media.neurips.cc/Conferences/NIPS2018/Slides/stastical_learning_theory.pdf

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4.5K

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01:58:09

Published

Dec 9, 2018

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