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A new method for estimation and model selection: $ρ$-estimation
v1v2v3v4v5 (latest)

A new method for estimation and model selection: ρρρ-estimation

24 March 2014
Y. Baraud
Lucien Birgé
M. Sart
ArXiv (abs)PDFHTML

Papers citing "A new method for estimation and model selection: $ρ$-estimation"

9 / 9 papers shown
Title
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite
  Variance Assumption
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption
Lihu Xu
Fang Yao
Qiuran Yao
Huiming Zhang
64
11
0
10 Jan 2022
Tests and estimation strategies associated to some loss functions
Tests and estimation strategies associated to some loss functions
Y. Baraud
41
7
0
27 Mar 2020
Mean estimation and regression under heavy-tailed distributions--a
  survey
Mean estimation and regression under heavy-tailed distributions--a survey
Gabor Lugosi
S. Mendelson
103
246
0
10 Jun 2019
Robust high dimensional learning for Lipschitz and convex losses
Robust high dimensional learning for Lipschitz and convex losses
Geoffrey Chinot
Guillaume Lecué
M. Lerasle
53
18
0
10 May 2019
Robust Estimation and Generative Adversarial Nets
Robust Estimation and Generative Adversarial Nets
Chao Gao
Jiyi Liu
Yuan Yao
Weizhi Zhu
142
28
0
04 Oct 2018
Robust classification via MOM minimization
Robust classification via MOM minimization
Guillaume Lecué
M. Lerasle
Timlothée Mathieu
107
50
0
09 Aug 2018
Convergence rates of least squares regression estimators with
  heavy-tailed errors
Convergence rates of least squares regression estimators with heavy-tailed errors
Q. Han
J. Wellner
82
46
0
07 Jun 2017
Learning from MOM's principles: Le Cam's approach
Learning from MOM's principles: Le Cam's approach
Lecué Guillaume
Lerasle Matthieu
100
52
0
08 Jan 2017
Rho-estimators revisited: General theory and applications
Rho-estimators revisited: General theory and applications
Y. Baraud
Lucien Birgé Jad
81
26
0
17 May 2016
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