3.5k citations · 3.7k across the 15 of their papers we have counts for
17 papers
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…
Breakpoint based online anomaly detection
Etienne Krönert, Dalila Hattab, Alain Celisse
The goal of anomaly detection is to identify observations that are generated by a distribution that differs from the reference distribution that qualifies normal behavior. When exa…
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…
Minimum discrepancy principle strategy for choosing in -NN regression
Yaroslav Averyanov, Alain Celisse
We present a novel data-driven strategy to choose the hyperparameter in the -NN regression estimator without using any hold-out data. We treat the problem of choosing the hy…
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…
Analyzing the discrepancy principle for kernelized spectral filter learning algorithms
Alain Celisse, Martin Wahl
We investigate the construction of early stopping rules in the nonparametric regression problem where iterative learning algorithms are used and the optimal iteration number is unk…