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stat.ML2022
Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series
Hong-Lan Botterman, Julien Roussel, Thomas Morzadec +2
We propose a robust principal component analysis (RPCA) framework to recover low-rank and sparse matrices from temporal observations. We develop an online version of the batch temp…
stat.ML2022★ 18 cited
MAPIE: an open-source library for distribution-free uncertainty quantification
Vianney Taquet, Vincent Blot, Thomas Morzadec +2
Estimating uncertainties associated with the predictions of Machine Learning (ML) models is of crucial importance to assess their robustness and predictive power. In this submissio…