Mar 13, 2023 · We propose a novel approach to concentration for non-independent random variables. The main idea is to ``pretend'' that the random variables are independent.
The main idea is to “pretend” that the random variables are independent and pay a multiplicative price measuring how far they are from actually being ...
We propose a novel approach to concentration for non-independent random variables. The main idea is to pretend that the random variables are independent.
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Feb 20, 2024 · We propose a novel approach to concentration for non-independent random variables. The main idea is to “pretend” that the random variables ...
Oct 22, 2024 · We propose a novel approach to concentration for non-independent random variables. The main idea is to “pretend” that the random variables ...
Dec 27, 2016 · Can one give some examples of concentration inequalities , other than Markov and Chebyshev's inequalities, that do not have independence ...
Concentration without Independence via Information Measures
www.semanticscholar.org › paper › Conc...
The main idea is to "pretend" that the random variables are independent and pay a multiplicative price measuring how far they are from actually being ...
Nov 17, 2016 · This phenomenon is most completely understood when the arguments are mutually independent random variables, and there exist several powerful com ...
In this section, we give a precise definition of the concentration of measure phenomenon, review several sufficient conditions for it to hold, and briefly ...
Dec 9, 2016 · What are the best resources to learn concentration of measure phenomenon and concentration inequalities? I have heard that Talagrand's papers are good.
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