Equilibrium multi-population matching (matching for teams) is a problem from mathematical economics which is related to multi-marginal optimal transport. A special but important case is the Wasserstein barycenter problem, which has applications in image processing and statistics. Two algorithms are presented: a linear programming algorithm and an efficient nonsmooth optimization algorithm, which applies in the case of the Wasserstein barycenters. The measures are approximated by discrete measures: convergence of the approximation is proved. Numerical results are presented which illustrate the efficiency of the algorithms
Starting from a motivation in the modeling of crowd movement, the paper presents the topics of gradi...
18 pages, 16 figures, submitted to the Machine Learning journal (Springer)International audienceOpti...
International audienceThis paper is concerned by the study of barycenters for random probability mea...
Equilibrium multi-population matching (matching for teams) is a problem from mathematical ...
Equilibrium multi-population matching (matching for teams) is a problem from mathematical economics ...
Equilibrium multi-population matching (matching for teams) is a prob-lem from mathematical economics...
We present new algorithms to compute the mean of a set of N empirical probability measures under the...
We present new algorithms to compute the mean of a set of empirical probability measures under the o...
The goal of this thesis is to propose a linear programming based numerical method to solve the data-...
This paper presents a family of generative Linear Programming models that permit to compute the exac...
Abstract. In this paper, we propose an improvement of an algorithm of Au-renhammer, Hoffmann and Aro...
Computing Wasserstein barycenters of discrete measures has recently attracted considerable attention...
AbstractWe study the problem of optimizing nonlinear objective functions over bipartite matchings. W...
This paper presents primal heuristics for the computation of Wasserstein Barycenters of a given set ...
Cette thèse se concentre sur l'analyse de données présentées sous forme de mesures de probabilité su...
Starting from a motivation in the modeling of crowd movement, the paper presents the topics of gradi...
18 pages, 16 figures, submitted to the Machine Learning journal (Springer)International audienceOpti...
International audienceThis paper is concerned by the study of barycenters for random probability mea...
Equilibrium multi-population matching (matching for teams) is a problem from mathematical ...
Equilibrium multi-population matching (matching for teams) is a problem from mathematical economics ...
Equilibrium multi-population matching (matching for teams) is a prob-lem from mathematical economics...
We present new algorithms to compute the mean of a set of N empirical probability measures under the...
We present new algorithms to compute the mean of a set of empirical probability measures under the o...
The goal of this thesis is to propose a linear programming based numerical method to solve the data-...
This paper presents a family of generative Linear Programming models that permit to compute the exac...
Abstract. In this paper, we propose an improvement of an algorithm of Au-renhammer, Hoffmann and Aro...
Computing Wasserstein barycenters of discrete measures has recently attracted considerable attention...
AbstractWe study the problem of optimizing nonlinear objective functions over bipartite matchings. W...
This paper presents primal heuristics for the computation of Wasserstein Barycenters of a given set ...
Cette thèse se concentre sur l'analyse de données présentées sous forme de mesures de probabilité su...
Starting from a motivation in the modeling of crowd movement, the paper presents the topics of gradi...
18 pages, 16 figures, submitted to the Machine Learning journal (Springer)International audienceOpti...
International audienceThis paper is concerned by the study of barycenters for random probability mea...