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cs.LG2023★ 4 cited
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification
Antoine de Mathelin, Francois Deheeger, Mathilde Mougeot +1
We consider the problem of uncertainty quantification in high dimensional regression and classification for which deep ensemble have proven to be promising methods. Recent observat…
cs.LG2022
Fast and Accurate Importance Weighting for Correcting Sample Bias
Antoine de Mathelin, Francois Deheeger, Mathilde Mougeot +1
Bias in datasets can be very detrimental for appropriate statistical estimation. In response to this problem, importance weighting methods have been developed to match any biased d…