A bound on the expected maximal deviation of averages from their means over a ÿnite space of functions is derived. The usefulness of this new bound is demonstrated by an application in nonparametric regression.
An inequality for uniform deviations of sample averages from their means
✍ Scribed by Peter Bartlett; Gábor Lugosi
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 97 KB
- Volume
- 44
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
✦ Synopsis
We derive a new inequality for uniform deviations of averages from their means. The inequality is a common generalization of previous results of Vapnik and Chervonenkis [1974, Theory of Pattern Recognition. Nauka, Moscow] and Pollard [1995, Uniform ratio limit theorems for empirical processes, Scand. J. Statist. 22,[271][272][273][274][275][276][277][278]. Using the new inequality we obtain tight bounds for empirical loss minimization learning.
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