We obtain exponential concentration inequalities for sub-additive functions of independent random variables under weak conditions on the increments of those functions, like the existence of exponential moments for these increments. As a consequence of these general inequalities, we obtain refinements of Talagrand's inequality for empirical processes and new bounds for randomized empirical processes. These results are obtained by further developing the entropy method introduced by Ledoux
Following the entropy method this paper presents general concentra-tion inequalities, which can be a...
A general method for obtaining moment inequalities for functions of independent random variables is ...
International audienceWe prove concentration inequalities for some classes of Markov chains and Φ-mi...
We obtain exponential concentration inequalities for sub-additive functions of independent random va...
International audienceWe provide new concentration inequalities for functions of dependent variables...
International audienceWe provide new concentration inequalities for functions of dependent variables...
We see that the entropy method yields strong concentration results for general self-bounding functio...
International audienceIn this paper we give optimal constants in Talagrand's concentration inequalit...
International audienceIn this paper we give optimal constants in Talagrand's concentration inequalit...
International audienceIn this paper we give optimal constants in Talagrand's concentration inequalit...
International audienceIn this paper we give optimal constants in Talagrand's concentration inequalit...
International audienceIn this paper we give optimal constants in Talagrand's concentration inequalit...
A general method for obtaining moment inequalities for functions of independent random variables is ...
A general method for obtaining moment inequalities for functions of independent random variables is ...
A general method for obtaining moment inequalities for functions of independent random variables is ...
Following the entropy method this paper presents general concentra-tion inequalities, which can be a...
A general method for obtaining moment inequalities for functions of independent random variables is ...
International audienceWe prove concentration inequalities for some classes of Markov chains and Φ-mi...
We obtain exponential concentration inequalities for sub-additive functions of independent random va...
International audienceWe provide new concentration inequalities for functions of dependent variables...
International audienceWe provide new concentration inequalities for functions of dependent variables...
We see that the entropy method yields strong concentration results for general self-bounding functio...
International audienceIn this paper we give optimal constants in Talagrand's concentration inequalit...
International audienceIn this paper we give optimal constants in Talagrand's concentration inequalit...
International audienceIn this paper we give optimal constants in Talagrand's concentration inequalit...
International audienceIn this paper we give optimal constants in Talagrand's concentration inequalit...
International audienceIn this paper we give optimal constants in Talagrand's concentration inequalit...
A general method for obtaining moment inequalities for functions of independent random variables is ...
A general method for obtaining moment inequalities for functions of independent random variables is ...
A general method for obtaining moment inequalities for functions of independent random variables is ...
Following the entropy method this paper presents general concentra-tion inequalities, which can be a...
A general method for obtaining moment inequalities for functions of independent random variables is ...
International audienceWe prove concentration inequalities for some classes of Markov chains and Φ-mi...