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1808.03106
Cited By
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
Lu Yu
Krishnakumar Balasubramanian
S. Volgushev
Murat A. Erdogdu
73
50
0
14 Jun 2020
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
Chao Gao
Jiyi Liu
Yuan Yao
Weizhi Zhu
54
28
0
04 Oct 2018
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
S. Mendelson
34
12
0
17 Jul 2017
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
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jerry Li
Ankur Moitra
Alistair Stewart
60
254
0
02 Mar 2017
Robust Regression via Mutivariate Regression Depth
Chao Gao
57
48
0
15 Feb 2017
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
Gábor Lugosi
S. Mendelson
52
47
0
15 Jan 2017
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
Gabor Lugosi
S. Mendelson
56
131
0
02 Aug 2016
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
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jingkai Li
Ankur Moitra
Alistair Stewart
64
511
0
21 Apr 2016
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
Mengjie Chen
Chao Gao
Zhao Ren
65
165
0
01 Jun 2015
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
ρ
ρ
-estimation
Y. Baraud
Lucien Birgé
M. Sart
53
31
0
24 Mar 2014
Learning without Concentration
S. Mendelson
159
333
0
01 Jan 2014
On statistics, computation and scalability
Michael I. Jordan
78
109
0
30 Sep 2013
Geometric median and robust estimation in Banach spaces
Stanislav Minsker
104
312
0
06 Aug 2013
Learning subgaussian classes : Upper and minimax bounds
Guillaume Lecué
S. Mendelson
59
86
0
21 May 2013
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
Vitaly Feldman
V. Guruswami
P. Raghavendra
Yi Wu
73
156
0
03 Dec 2010
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
O. Catoni
107
462
0
10 Sep 2010
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