11 citations · 48 across the 15 of their papers we have counts for
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stat.ML2020
SWAG: A Wrapper Method for Sparse Learning
Roberto Molinari, Gaetan Bakalli, Stéphane Guerrier +4
The majority of machine learning methods and algorithms give high priority to prediction performance which may not always correspond to the priority of the users. In many cases, pr…
stat.ME2020★ 2 cited
Robust Two-Step Wavelet-Based Inference for Time Series Models
Stéphane Guerrier, Roberto Molinari, Maria-Pia Victoria-Feser +1
Complex time series models such as (the sum of) ARMA models with additional noise, random walks, rounding errors and/or drifts are increasingly used for data analysis in fie…