PCA-based Multi Task Learning: a Random Matrix Approach

1 November 2021

Papers citing "PCA-based Multi Task Learning: a Random Matrix Approach"

4 / 4 papers shown

Title
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting Romain Ilbert Malik Tiomoko Cosme Louart Ambroise Odonnat Vasilii Feofanov Themis Palpanas I. Redko AI4TS 69 1 0 14 Jun 2024
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption Vasilii Feofanov Malik Tiomoko Aladin Virmaux 38 5 0 20 Oct 2023
Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture Minh-Toan Nguyen Romain Couillet 30 4 0 03 Mar 2023
Multi-task learning on the edge: cost-efficiency and theoretical optimality Sami Fakhry Romain Couillet Malik Tiomoko 17 1 0 09 Oct 2021