Concentration inequalities for functions of independent random variables is an area of probability theory that has witnessed a great revolution in the last few decades, and has applications in a wide variety of areas such as machine learning, statistics, discrete mathematics, and high-dimensional ge
Concentration inequalities: a nonasymptotic theory of independence
β Scribed by Boucheron, StΓ©phane;Lugosi, GΓ‘bor;Massart, Pascal
- Publisher
- Oxford University Press
- Year
- 2016
- Tongue
- English
- Leaves
- 492
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Michel Ledoux: Foreword1: Introduction2: Basic inequalities3: Bounding the variance4: Basic information inequalities5: Logarithmic Sobolev inequalities6: The entropy method7: Concentration and isoperimetry8: The transportation method9: Influences and threshold phenomena10: Isoperimetry on the hypercube and Gaussian spaces11: The variance of suprema of empirical processes12: Suprema of empirical processes: exponential inequalities13: The expected value of suprema of empirical processes14: *Q-entropies15: Moment inequalities
β¦ Subjects
Inequalities (Mathematics);Probabilities
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