Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1911.08085
Cited By
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
19 November 2019
Ilias Diakonikolas
Sushrut Karmalkar
D. Kane
Eric Price
Alistair Stewart
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering"
20 / 20 papers shown
Title
Faster Algorithms for High-Dimensional Robust Covariance Estimation
Yu Cheng
Ilias Diakonikolas
Rong Ge
David P. Woodruff
47
66
0
11 Jun 2019
High Dimensional Robust
M
M
M
-Estimation: Arbitrary Corruption and Heavy Tails
Liu Liu
Tianyang Li
Constantine Caramanis
40
14
0
24 Jan 2019
High-Dimensional Robust Mean Estimation in Nearly-Linear Time
Yu Cheng
Ilias Diakonikolas
Rong Ge
59
124
0
23 Nov 2018
Efficient Algorithms and Lower Bounds for Robust Linear Regression
Ilias Diakonikolas
Weihao Kong
Alistair Stewart
58
162
0
31 May 2018
High Dimensional Robust Sparse Regression
Liu Liu
Yanyao Shen
Tianyang Li
Constantine Caramanis
45
71
0
29 May 2018
Efficient Algorithms for Outlier-Robust Regression
Adam R. Klivans
Pravesh Kothari
Raghu Meka
AAML
46
154
0
08 Mar 2018
Sever: A Robust Meta-Algorithm for Stochastic Optimization
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jerry Li
Jacob Steinhardt
Alistair Stewart
57
288
0
07 Mar 2018
Robust Estimation via Robust Gradient Estimation
Adarsh Prasad
A. Suggala
Sivaraman Balakrishnan
Pradeep Ravikumar
57
221
0
19 Feb 2018
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical Gaussians
Ilias Diakonikolas
D. Kane
Alistair Stewart
75
147
0
20 Nov 2017
Learning Geometric Concepts with Nasty Noise
Ilias Diakonikolas
D. Kane
Alistair Stewart
AAML
57
87
0
05 Jul 2017
Certified Defenses for Data Poisoning Attacks
Jacob Steinhardt
Pang Wei Koh
Percy Liang
AAML
80
752
0
09 Jun 2017
Robustly Learning a Gaussian: Getting Optimal Error, Efficiently
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jerry Li
Ankur Moitra
Alistair Stewart
47
135
0
12 Apr 2017
Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers
Jacob Steinhardt
Moses Charikar
Gregory Valiant
61
138
0
15 Mar 2017
Being Robust (in High Dimensions) Can Be Practical
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jerry Li
Ankur Moitra
Alistair Stewart
69
254
0
02 Mar 2017
Statistical Query Lower Bounds for Robust Estimation of High-dimensional Gaussians and Gaussian Mixtures
Ilias Diakonikolas
D. Kane
Alistair Stewart
57
232
0
10 Nov 2016
Learning from Untrusted Data
Moses Charikar
Jacob Steinhardt
Gregory Valiant
FedML
OOD
86
295
0
07 Nov 2016
Robust Learning of Fixed-Structure Bayesian Networks
Yu Cheng
Ilias Diakonikolas
D. Kane
Alistair Stewart
OOD
57
46
0
23 Jun 2016
Agnostic Estimation of Mean and Covariance
Kevin A. Lai
Anup B. Rao
Santosh Vempala
76
344
0
24 Apr 2016
Robust Estimators in High Dimensions without the Computational Intractability
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jingkai Li
Ankur Moitra
Alistair Stewart
66
510
0
21 Apr 2016
Poisoning Attacks against Support Vector Machines
Battista Biggio
B. Nelson
Pavel Laskov
AAML
109
1,585
0
27 Jun 2012
1