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Robust classification via MOM minimization

Robust classification via MOM minimization

9 August 2018
Guillaume Lecué
M. Lerasle
Timlothée Mathieu
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Papers citing "Robust classification via MOM minimization"

26 / 26 papers shown
Title
An Analysis of Constant Step Size SGD in the Non-convex Regime:
  Asymptotic Normality and Bias
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias
Lu Yu
Krishnakumar Balasubramanian
S. Volgushev
Murat A. Erdogdu
73
50
0
14 Jun 2020
High-Dimensional Robust Mean Estimation in Nearly-Linear Time
High-Dimensional Robust Mean Estimation in Nearly-Linear Time
Yu Cheng
Ilias Diakonikolas
Rong Ge
49
124
0
23 Nov 2018
Robust Estimation and Generative Adversarial Nets
Robust Estimation and Generative Adversarial Nets
Chao Gao
Jiyi Liu
Yuan Yao
Weizhi Zhu
54
28
0
04 Oct 2018
Robust machine learning by median-of-means : theory and practice
Robust machine learning by median-of-means : theory and practice
Guillaume Lecué
M. Lerasle
OOD
112
155
0
28 Nov 2017
An optimal unrestricted learning procedure
An optimal unrestricted learning procedure
S. Mendelson
34
12
0
17 Jul 2017
Distributed Statistical Estimation and Rates of Convergence in Normal
  Approximation
Distributed Statistical Estimation and Rates of Convergence in Normal Approximation
Stanislav Minsker
Nate Strawn
36
65
0
09 Apr 2017
Being Robust (in High Dimensions) Can Be Practical
Being Robust (in High Dimensions) Can Be Practical
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jerry Li
Ankur Moitra
Alistair Stewart
60
254
0
02 Mar 2017
Robust Regression via Mutivariate Regression Depth
Robust Regression via Mutivariate Regression Depth
Chao Gao
57
48
0
15 Feb 2017
Sub-Gaussian estimators of the mean of a random vector
Sub-Gaussian estimators of the mean of a random vector
Gábor Lugosi
S. Mendelson
75
171
0
01 Feb 2017
Regularization, sparse recovery, and median-of-means tournaments
Regularization, sparse recovery, and median-of-means tournaments
Gábor Lugosi
S. Mendelson
52
47
0
15 Jan 2017
Learning from MOM's principles: Le Cam's approach
Learning from MOM's principles: Le Cam's approach
Lecué Guillaume
Lerasle Matthieu
68
52
0
08 Jan 2017
Risk minimization by median-of-means tournaments
Risk minimization by median-of-means tournaments
Gabor Lugosi
S. Mendelson
56
131
0
02 Aug 2016
On optimality of empirical risk minimization in linear aggregation
On optimality of empirical risk minimization in linear aggregation
Adrien Saumard
54
21
0
11 May 2016
Robust Estimators in High Dimensions without the Computational
  Intractability
Robust Estimators in High Dimensions without the Computational Intractability
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jingkai Li
Ankur Moitra
Alistair Stewart
64
511
0
21 Apr 2016
Sub-Gaussian mean estimators
Sub-Gaussian mean estimators
Luc Devroye
M. Lerasle
Gabor Lugosi
R. Oliveira
101
186
0
19 Sep 2015
Robust Covariance and Scatter Matrix Estimation under Huber's
  Contamination Model
Robust Covariance and Scatter Matrix Estimation under Huber's Contamination Model
Mengjie Chen
Chao Gao
Zhao Ren
65
165
0
01 Jun 2015
Variance Breakdown of Huber (M)-estimators: $n/p \rightarrow m \in
  (1,\infty)$
Variance Breakdown of Huber (M)-estimators: n/p→m∈(1,∞)n/p \rightarrow m \in (1,\infty)n/p→m∈(1,∞)
D. Donoho
Andrea Montanari
122
14
0
06 Mar 2015
A new method for estimation and model selection: $ρ$-estimation
A new method for estimation and model selection: ρρρ-estimation
Y. Baraud
Lucien Birgé
M. Sart
53
31
0
24 Mar 2014
Learning without Concentration
Learning without Concentration
S. Mendelson
159
333
0
01 Jan 2014
On statistics, computation and scalability
On statistics, computation and scalability
Michael I. Jordan
78
109
0
30 Sep 2013
Geometric median and robust estimation in Banach spaces
Geometric median and robust estimation in Banach spaces
Stanislav Minsker
104
312
0
06 Aug 2013
Learning subgaussian classes : Upper and minimax bounds
Learning subgaussian classes : Upper and minimax bounds
Guillaume Lecué
S. Mendelson
59
86
0
21 May 2013
Structured sparsity through convex optimization
Structured sparsity through convex optimization
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
176
324
0
12 Sep 2011
Agnostic Learning of Monomials by Halfspaces is Hard
Agnostic Learning of Monomials by Halfspaces is Hard
Vitaly Feldman
V. Guruswami
P. Raghavendra
Yi Wu
73
156
0
03 Dec 2010
Robust linear least squares regression
Robust linear least squares regression
Jean-Yves Audibert
O. Catoni
92
99
0
01 Oct 2010
Challenging the empirical mean and empirical variance: a deviation study
Challenging the empirical mean and empirical variance: a deviation study
O. Catoni
107
462
0
10 Sep 2010
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