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Robust Estimation for Random Graphs
v1v2 (latest)

Robust Estimation for Random Graphs

9 November 2021
Jayadev Acharya
Ayush Jain
Gautam Kamath
A. Suresh
Huanyu Zhang
ArXiv (abs)PDFHTML

Papers citing "Robust Estimation for Random Graphs"

32 / 32 papers shown
Title
Robust estimation algorithms don't need to know the corruption level
Robust estimation algorithms don't need to know the corruption level
Ayush Jain
A. Orlitsky
V. Ravindrakumar
51
6
0
11 Feb 2022
High-Dimensional Robust Mean Estimation via Gradient Descent
High-Dimensional Robust Mean Estimation via Gradient Descent
Yu Cheng
Ilias Diakonikolas
Rong Ge
Mahdi Soltanolkotabi
66
31
0
04 May 2020
A General Method for Robust Learning from Batches
A General Method for Robust Learning from Batches
Ayush Jain
A. Orlitsky
OOD
36
16
0
25 Feb 2020
Learning Structured Distributions From Untrusted Batches: Faster and
  Simpler
Learning Structured Distributions From Untrusted Batches: Faster and Simpler
Sitan Chen
Jungshian Li
Ankur Moitra
48
18
0
24 Feb 2020
Optimal Robust Learning of Discrete Distributions from Batches
Optimal Robust Learning of Discrete Distributions from Batches
Ayush Jain
A. Orlitsky
45
14
0
19 Nov 2019
Recent Advances in Algorithmic High-Dimensional Robust Statistics
Recent Advances in Algorithmic High-Dimensional Robust Statistics
Ilias Diakonikolas
D. Kane
OOD
76
183
0
14 Nov 2019
Efficiently Learning Structured Distributions from Untrusted Batches
Efficiently Learning Structured Distributions from Untrusted Batches
Sitan Chen
Jingkai Li
Ankur Moitra
OODFedML
61
16
0
05 Nov 2019
Generalized Resilience and Robust Statistics
Generalized Resilience and Robust Statistics
Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
79
45
0
19 Sep 2019
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved
  Outlier Detection
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection
Yihe Dong
Samuel B. Hopkins
Jungshian Li
76
99
0
26 Jun 2019
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
63
66
0
11 Jun 2019
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy
Adam Sealfon
Jonathan R. Ullman
68
46
0
24 May 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
61
124
0
23 Nov 2018
Revealing Network Structure, Confidentially: Improved Rates for
  Node-Private Graphon Estimation
Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation
C. Borgs
J. Chayes
Adam D. Smith
Ilias Zadik
FedML
74
46
0
04 Oct 2018
High Dimensional Robust Sparse Regression
High Dimensional Robust Sparse Regression
Liu Liu
Yanyao Shen
Tianyang Li
Constantine Caramanis
74
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
60
157
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
81
289
0
07 Mar 2018
Robust Estimation via Robust Gradient Estimation
Robust Estimation via Robust Gradient Estimation
Adarsh Prasad
A. Suggala
Sivaraman Balakrishnan
Pradeep Ravikumar
79
222
0
19 Feb 2018
Learning Discrete Distributions from Untrusted Batches
Learning Discrete Distributions from Untrusted Batches
Mingda Qiao
Gregory Valiant
FedML
74
34
0
22 Nov 2017
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
120
147
0
20 Nov 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
85
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
90
140
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
123
255
0
02 Mar 2017
Learning from Untrusted Data
Learning from Untrusted Data
Moses Charikar
Jacob Steinhardt
Gregory Valiant
FedMLOOD
127
300
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
98
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
98
347
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
75
513
0
21 Apr 2016
Learning Communities in the Presence of Errors
Learning Communities in the Presence of Errors
K. Makarychev
Yury Makarychev
Aravindan Vijayaraghavan
144
33
0
10 Nov 2015
How Robust are Reconstruction Thresholds for Community Detection?
How Robust are Reconstruction Thresholds for Community Detection?
Ankur Moitra
William Perry
Alexander S. Wein
136
83
0
04 Nov 2015
Private Graphon Estimation for Sparse Graphs
Private Graphon Estimation for Sparse Graphs
C. Borgs
J. Chayes
Adam D. Smith
198
89
0
19 Jun 2015
Improved Sum-of-Squares Lower Bounds for Hidden Clique and Hidden
  Submatrix Problems
Improved Sum-of-Squares Lower Bounds for Hidden Clique and Hidden Submatrix Problems
Y. Deshpande
Andrea Montanari
76
85
0
23 Feb 2015
Robust and computationally feasible community detection in the presence
  of arbitrary outlier nodes
Robust and computationally feasible community detection in the presence of arbitrary outlier nodes
T. Tony Cai
Xiaodong Li
222
141
0
23 Apr 2014
Rank-Sparsity Incoherence for Matrix Decomposition
Rank-Sparsity Incoherence for Matrix Decomposition
V. Chandrasekaran
Sujay Sanghavi
P. Parrilo
A. Willsky
CML
260
1,111
0
11 Jun 2009
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