Following the entropy method this paper presents general concentra-tion inequalities, which can be applied to combinatorial optimization and empirical processes. The inequalities give improved concentration results for optimal travelling salesmen tours, Steiner trees and the eigenvalues of random symmetric matrices.
International audienceIn this paper we give optimal constants in Talagrand's concentration inequalit...
We show that the thermal subadditivity of entropy provides a common basis to derive a strong form of...
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...
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...
Concentration inequalities deal with deviations of functions of independent random variables from th...
Concentration inequalities deal with deviations of functions of independent random variables from th...
International audienceThe concentration measure principle is presented in an abstract way to encompa...
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...
We show that the thermal subadditivity of entropy provides a common basis to derive a strong form of...
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...
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...
Concentration inequalities deal with deviations of functions of independent random variables from th...
Concentration inequalities deal with deviations of functions of independent random variables from th...
International audienceThe concentration measure principle is presented in an abstract way to encompa...
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...
We show that the thermal subadditivity of entropy provides a common basis to derive a strong form of...
International audienceWe prove concentration inequalities for some classes of Markov chains and Φ-mi...