Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Genetay Edouard"'
Minimization of the (regularized) entropy of classification probabilities is a versatile class of discriminative clustering methods. The classification probabilities are usually defined through the use of some classical losses from supervised classif
Externí odkaz:
http://arxiv.org/abs/2112.08701
We propose a new clustering algorithm that is robust to the presence of outliers in the dataset. We perform Lloyd-type iterations with robust estimates of the centroids. More precisely, we build on the idea of median-of-means statistics to estimate t
Externí odkaz:
http://arxiv.org/abs/2002.03899
Publikováno v:
ESAIM: Proceedings and Surveys, Vol 74, Pp 119-136 (2023)
Some recent contributions to robust inference are presented. Firstly, the classical problem of robust M-estimation of a location parameter is revisited using an optimal transport approach - with specifically designed Wasserstein-type distances - that
Externí odkaz:
https://doaj.org/article/31095b126eca43378524c3facaeae5e0
Publikováno v:
In Computational Statistics and Data Analysis March 2022 167
Publikováno v:
ESAIM: Proceedings and Surveys
Journées MAS de la SMAI, édition 2021.
ESAIM: Proceedings and Surveys, EDP Sciences, In press
ESAIM: Proceedings and Surveys, In press
Journées MAS de la SMAI, édition 2021.
ESAIM: Proceedings and Surveys, EDP Sciences, In press
ESAIM: Proceedings and Surveys, In press
Some recent contributions to robust inference are presented. Firstly, the classical problem of robust M-estimation of a location parameter is revisited using an optimal transport approach-with specifically designed Wasserstein-type distances-that red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ddc68629d0f4e16842f07b0f1516c64f
https://hal.archives-ouvertes.fr/hal-03605702/file/Session_Robust_Learning_ESAIM_PROC.pdf
https://hal.archives-ouvertes.fr/hal-03605702/file/Session_Robust_Learning_ESAIM_PROC.pdf