Concentration Inequalities for Samples without Replacement
From MaRDI portal
Publication:5369328
DOI10.1137/S0040585X97T988277zbMath1376.60047OpenAlexW2756930896MaRDI QIDQ5369328
Publication date: 16 October 2017
Published in: Theory of Probability & Its Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/s0040585x97t988277
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Inequalities; stochastic orderings (60E15) Learning and adaptive systems in artificial intelligence (68T05)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Oracle inequalities in empirical risk minimization and sparse recovery problems. École d'Été de Probabilités de Saint-Flour XXXVIII-2008.
- Concentration of normalized sums and a central limit theorem for noncorrelated random variables
- Rates of convergence in the central limit theorem for empirical processes
- Probability inequalities for the sum in sampling without replacement
- Local Rademacher complexities and oracle inequalities in risk minimization. (2004 IMS Medallion Lecture). (With discussions and rejoinder)
- Concentration inequalities for sampling without replacement
- Local Rademacher complexities
- Theory of Classification: a Survey of Some Recent Advances
- Transductive Rademacher Complexity and its Applications
- Learning Theory and Kernel Machines
- Probability Inequalities for Sums of Bounded Random Variables
- Advanced Lectures on Machine Learning
- On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
- New concentration inequalities in product spaces
This page was built for publication: Concentration Inequalities for Samples without Replacement