Bayes in action in deep learning and dictionary learning
ESAIM. Proceedings, Tome 74 (2023), pp. 90-107
Cet article a éte moissonné depuis la source EDP Sciences
This article summarizes some recent works and associated challenges in the field of Bayesian statistics that were presented during the Journées MAS 2020. The goal of the session was to give an overview of the many aspects of Bayesian statistics investigated by young researchers of the community.
Affiliations des auteurs :
Julyan Arbel 1 ; Hong-Phuong Dang 2 ; Clement Elvira 3 ; Cedric Herzet 4 ; Zacharie Naulet 5 ; Mariia Vladimirova 1
@article{EP_2023_74_a6,
author = {Julyan Arbel and Hong-Phuong Dang and Clement Elvira and Cedric Herzet and Zacharie Naulet and Mariia Vladimirova},
title = {Bayes in action in deep learning and dictionary learning},
journal = {ESAIM. Proceedings},
pages = {90--107},
year = {2023},
volume = {74},
doi = {10.1051/proc/202374090},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.1051/proc/202374090/}
}
TY - JOUR AU - Julyan Arbel AU - Hong-Phuong Dang AU - Clement Elvira AU - Cedric Herzet AU - Zacharie Naulet AU - Mariia Vladimirova TI - Bayes in action in deep learning and dictionary learning JO - ESAIM. Proceedings PY - 2023 SP - 90 EP - 107 VL - 74 UR - http://geodesic.mathdoc.fr/articles/10.1051/proc/202374090/ DO - 10.1051/proc/202374090 LA - en ID - EP_2023_74_a6 ER -
%0 Journal Article %A Julyan Arbel %A Hong-Phuong Dang %A Clement Elvira %A Cedric Herzet %A Zacharie Naulet %A Mariia Vladimirova %T Bayes in action in deep learning and dictionary learning %J ESAIM. Proceedings %D 2023 %P 90-107 %V 74 %U http://geodesic.mathdoc.fr/articles/10.1051/proc/202374090/ %R 10.1051/proc/202374090 %G en %F EP_2023_74_a6
Julyan Arbel; Hong-Phuong Dang; Clement Elvira; Cedric Herzet; Zacharie Naulet; Mariia Vladimirova. Bayes in action in deep learning and dictionary learning. ESAIM. Proceedings, Tome 74 (2023), pp. 90-107. doi: 10.1051/proc/202374090
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