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11/01/2021
PCA-based Multi Task Learning: a Random Matrix Approach
The article proposes and theoretically analyses a computationally effici...
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10/09/2021
Multi-task learning on the edge: cost-efficiency and theoretical optimality
This article proposes a distributed multi-task learning (MTL) algorithm ...
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09/03/2020
Large Dimensional Analysis and Improvement of Multi Task Learning
Multi Task Learning (MTL) efficiently leverages useful information conta...
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03/08/2019
Random Matrix-Improved Estimation of the Wasserstein Distance between two Centered Gaussian Distributions
This article proposes a method to consistently estimate functionals 1/p∑...
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02/07/2019
Random Matrix Improved Covariance Estimation for a Large Class of Metrics
Relying on recent advances in statistical estimation of covariance dista...
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10/10/2018
