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Title:Uniform Stability and Generalization in Learning Theory - a tutorial with Tikhonov Regularization
Author(s):Brando Miranda
Subject(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.
Issue Date:2015-01-01
Genre:Technical Report
Article
Type:Text
Language:English
URI:http://hdl.handle.net/2142/112788
Date Available in IDEALS:2021-11-24


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