Uniform Stability and Generalization in Learning Theory - a tutorial with Tikhonov Regularization

Brando Miranda

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https://hdl.handle.net/2142/112788 Copy

Description

Title

Uniform Stability and Generalization in Learning Theory - a tutorial with Tikhonov Regularization

Author(s)

Brando Miranda

Issue Date

2015-01-01

Keyword(s)

• machine learning
• statistical machine learning
• statistics
• ai
• artificial intelligence
• learning theory

Abstract

We provide a tutorial of the foundations of Uniform Stability and Generalization in Learning according to the MIT class 9.520 Statistical Learning Theory and Applications [2] through the example of Tikhonov Regularization. In particular, our main contributions are: 1) to provide a new presentation of the proof 2) provide clear motivations and underlying intuition for pedagogy and 3) provide an example with Tikhonov Regularization for concreteness and pedagogy.

Type of Resource

text

Language

en

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http://hdl.handle.net/2142/112788

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