Some Hoeffding- and Bernstein-type Concentration Inequalities
Not on the map. Why?
Abstract (arXiv)
We prove concentration inequalities for functions of independent random variables {under} sub-gaussian and sub-exponential conditions. The utility of the inequalities is demonstrated by an extension of the now classical method of Rademacher complexities to Lipschitz function classes and unbounded sub-exponential distribution.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 3 of its 14 references that are in the map. First posted on arXiv 11 Feb 2021.
Builds on
3 of 14 references.
References · 3
- 2014Learning without Concentrationcited by 50
- 2013Concentration in unbounded metric spaces and algorithmic stabilitycited by 21
- 2013Relative Deviation Learning Bounds and Generalization with Unbounded Loss Functionscited by 15
Built on by
Citing papers per year: 2023: 1.
1 paper.