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Regularization, sparse recovery, and median-of-means tournaments

Regularization, sparse recovery, and median-of-means tournaments

15 January 2017
Gábor Lugosi
S. Mendelson
ArXivPDFHTML

Papers citing "Regularization, sparse recovery, and median-of-means tournaments"

13 / 13 papers shown
Title
Byzantine-Robust Federated Linear Bandits
Byzantine-Robust Federated Linear Bandits
Ali Jadbabaie
Haochuan Li
Jian Qian
Yi Tian
FedML
21
12
0
03 Apr 2022
Uniform Concentration Bounds toward a Unified Framework for Robust
  Clustering
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
Debolina Paul
Saptarshi Chakraborty
Swagatam Das
Jason Xu
12
16
0
27 Oct 2021
Universal Robust Regression via Maximum Mean Discrepancy
Universal Robust Regression via Maximum Mean Discrepancy
Pierre Alquier
Mathieu Gerber
38
15
0
01 Jun 2020
Robust subgaussian estimation with VC-dimension
Robust subgaussian estimation with VC-dimension
Jules Depersin
25
12
0
24 Apr 2020
Robust $k$-means Clustering for Distributions with Two Moments
Robust kkk-means Clustering for Distributions with Two Moments
Yegor Klochkov
Alexey Kroshnin
Nikita Zhivotovskiy
18
19
0
06 Feb 2020
Robust Aggregation for Federated Learning
Robust Aggregation for Federated Learning
Krishna Pillutla
Sham Kakade
Zaïd Harchaoui
FedML
30
629
0
31 Dec 2019
Robust learning and complexity dependent bounds for regularized problems
Robust learning and complexity dependent bounds for regularized problems
Geoffrey Chinot
16
2
0
06 Feb 2019
Uniform bounds for robust mean estimators
Uniform bounds for robust mean estimators
Stanislav Minsker
OOD
FedML
10
35
0
09 Dec 2018
Solvable Integration Problems and Optimal Sample Size Selection
Solvable Integration Problems and Optimal Sample Size Selection
R. Kunsch
E. Novak
Daniel Rudolf
9
15
0
22 May 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
15
44
0
07 Jun 2017
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized
  Bayes
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes
Peter Grünwald
Nishant A. Mehta
30
71
0
01 May 2016
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
Weijie Su
Emmanuel Candes
65
145
0
29 Mar 2015
Learning without Concentration
Learning without Concentration
S. Mendelson
85
334
0
01 Jan 2014
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