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PCA-based Multi-Task Learning: a Random Matrix Approach.

, , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 34280-34300. PMLR, (2023)

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Random matrix-improved estimation of covariance matrix distances., , , and . J. Multivar. Anal., (2019)Random Matrix-Improved Estimation of the Wasserstein Distance between two Centered Gaussian Distributions., and . EUSIPCO, page 1-5. IEEE, (2019)Estimation of Covariance Matrix Distances in the High Dimension Low Sample Size Regime., and . CAMSAP, page 341-345. IEEE, (2019)Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 21449-21477. PMLR, (2022)PCA-based Multi Task Learning: a Random Matrix Approach., , and . CoRR, (2021)Optimizing Spca-based Continual Learning: A Theoretical Approach., , and . ICLR, OpenReview.net, (2023)PCA-based Multi-Task Learning: a Random Matrix Approach., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 34280-34300. PMLR, (2023)Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach., , and . ICLR, OpenReview.net, (2021)Improved Estimation of the Distance between Covariance Matrices., , , and . ICASSP, page 7445-7449. IEEE, (2019)Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 10008-10033. PMLR, (2023)