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07/19/2023
Manifold Learning with Sparse Regularised Optimal Transport
Manifold learning is a central task in modern statistics and data scienc...
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01/03/2023
Empirical Optimal Transport under Estimated Costs: Distributional Limits and Statistical Applications
Optimal transport (OT) based data analysis is often faced with the issue...
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11/20/2022
Quadratically Regularized Optimal Transport: nearly optimal potentials and convergence of discrete Laplace operators
We consider the conjecture proposed in Matsumoto, Zhang and Schiebinger ...
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11/19/2022
Center-Outward Multiple-Output Lorenz Curves and Gini Indices a measure transportation approach
Based on measure transportation ideas and the related concepts of center...
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04/13/2022
Statistical analysis of random objects via metric measure Laplacians
In this paper, we consider a certain convolutional Laplacian for metric ...
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01/19/2022
About limiting spectral distributions of block-rescaled empirical covariance matrices
We establish that the limiting spectral distribution of a block-rescaled...
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11/08/2021
On the Finite-Sample Performance of Measure Transportation-Based Multivariate Rank Tests
Extending to dimension 2 and higher the dual univariate concepts of rank...
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04/28/2021
Measuring dependence between random vectors via optimal transport
To quantify the dependence between two random vectors of possibly differ...
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03/14/2020
