3 papers
cs.LG2025
Representation learning with a transformer by contrastive learning for money laundering detection
Harold Guéneau, Alain Celisse, Pascal Delange
The present work tackles the money laundering detection problem. A new procedure is introduced which exploits structured time series of both qualitative and quantitative data by me…
stat.ME2024
FDR Control for Online Anomaly Detection
Etienne Krönert, Alain Célisse, Dalila Hattab
A new online multiple testing procedure is described in the context of anomaly detection, which controls the False Discovery Rate (FDR). An accurate anomaly detector must control t…
stat.ML2024
Early stopping and polynomial smoothing in regression with reproducing kernels
Yaroslav Averyanov, Alain Celisse
In this paper, we study the problem of early stopping for iterative learning algorithms in a reproducing kernel Hilbert space (RKHS) in the nonparametric regression framework. In p…