ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.08085
  4. Cited By
Outlier-Robust High-Dimensional Sparse Estimation via Iterative
  Filtering

Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering

19 November 2019
Ilias Diakonikolas
Sushrut Karmalkar
D. Kane
Eric Price
Alistair Stewart
ArXivPDFHTML

Papers citing "Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering"

20 / 20 papers shown
Title
Faster Algorithms for High-Dimensional Robust Covariance Estimation
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 $M$-Estimation: Arbitrary Corruption and Heavy
  Tails
High Dimensional Robust MMM-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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Poisoning Attacks against Support Vector Machines
Battista Biggio
B. Nelson
Pavel Laskov
AAML
109
1,585
0
27 Jun 2012
1