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Detection of an anomalous cluster in a network
19 January 2010
E. Arias-Castro
Emmanuel J. Candès
Arnaud Durand
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Papers citing
"Detection of an anomalous cluster in a network"
50 / 80 papers shown
Title
Consistent line clustering using geometric hypergraphs
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Stochastic Variance-Reduced Iterative Hard Thresholding in Graph Sparsity Optimization
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24 Jul 2024
Multiscale Quantile Regression with Local Error Control
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Housen Li
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17 Mar 2024
Detection and Recovery of Hidden Submatrices
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Wasim Huleihel
Tamir Bendory
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11 Jun 2023
Optimal partition recovery in general graphs
Yi Yu
Oscar Hernan Madrid Padilla
Alessandro Rinaldo
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21 Oct 2021
Sharp Signal Detection Under Ferromagnetic Ising Models
Sohom Bhattacharya
Rajarshi Mukherjee
G. Ray
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06 Oct 2021
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
Baojian Zhou
Yifan Sun
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29 Jun 2021
Lattice partition recovery with dyadic CART
Oscar Hernan Madrid Padilla
Yi Yu
Alessandro Rinaldo
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27 May 2021
Moving sum data segmentation for stochastics processes based on invariance
Claudia Kirch
P. Klein
52
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12 Jan 2021
Detecting Structured Signals in Ising Models
Nabarun Deb
Rajarshi Mukherjee
Soumendu Sundar Mukherjee
Ming Yuan
49
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10 Dec 2020
Local Two-Sample Testing over Graphs and Point-Clouds by Random-Walk Distributions
Boris Landa
Rihao Qu
Joseph T. Chang
Y. Kluger
43
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06 Nov 2020
Stochastic Hard Thresholding Algorithms for AUC Maximization
Zhenhuan Yang
Baojian Zhou
Yunwen Lei
Yiming Ying
75
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04 Nov 2020
Optimal Change-Point Detection and Localization
Nicolas Verzélen
M. Fromont
M. Lerasle
Patricia Reynaud-Bouret
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22 Oct 2020
Fast and Asymptotically Powerful Detection for Filamentary Objects in Digital Images
K. Ni
Shanshan Cao
X. Huo
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19 Sep 2020
Template Matching and Change Point Detection by M-estimation
E. Arias-Castro
Lin Zheng
47
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09 Sep 2020
Anomaly Detection for a Large Number of Streams: A Permutation-Based Higher Criticism Approach
Ivo V. Stoepker
R. Castro
E. Arias-Castro
Edwin van den Heuvel
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07 Sep 2020
Calibrating the scan statistic: finite sample performance vs. asymptotics
G. Walther
Andrew Perry
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13 Aug 2020
Computational Barriers to Estimation from Low-Degree Polynomials
T. Schramm
Alexander S. Wein
77
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05 Aug 2020
Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs
Sheng Xu
Z. Fan
S. Negahban
65
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31 May 2020
On Minimax Exponents of Sparse Testing
Rajarshi Mukherjee
S. Sen
32
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01 Mar 2020
Two-stage data segmentation permitting multiscale change points, heavy tails and dependence
Haeran Cho
Claudia Kirch
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28 Oct 2019
Distributed Change Detection in Streaming Graph Signals
A. Ferrari
C. Richard
Louis Verduci
52
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15 Oct 2019
Large-scale inference with block structure
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G. Walther
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28 Jun 2019
Learning Mixtures of Graphs from Epidemic Cascades
Jessica Hoffmann
Soumya Basu
Surbhi Goel
Constantine Caramanis
56
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14 Jun 2019
Dual Averaging Method for Online Graph-structured Sparsity
Baojian Zhou
F. Chen
Yiming Ying
55
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26 May 2019
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization
Baojian Zhou
F. Chen
Yiming Ying
80
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09 May 2019
Learning Graphs from Noisy Epidemic Cascades
Jessica Hoffmann
Constantine Caramanis
121
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06 Mar 2019
Distributionally Robust Removal of Malicious Nodes from Networks
Sixie Yu
Yevgeniy Vorobeychik
24
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31 Jan 2019
Removing Malicious Nodes from Networks
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Yevgeniy Vorobeychik
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30 Dec 2018
Optimality and Sub-optimality of PCA I: Spiked Random Matrix Models
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Alexander S. Wein
Afonso S. Bandeira
Ankur Moitra
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Optimal Inference with a Multidimensional Multiscale Statistic
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B. Sen
62
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06 Jun 2018
Global testing under the sparse alternatives for single index models
Q. Lin
Zhigen Zhao
Jun S. Liu
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04 May 2018
Multidimensional multiscale scanning in Exponential Families: Limit theory and statistical consequences
Claudia Konig
Axel Munk
Frank Werner
49
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22 Feb 2018
Learning Patterns for Detection with Multiscale Scan Statistics
James Sharpnack
67
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16 Feb 2018
Hypothesis Testing for High-Dimensional Multinomials: A Selective Review
Sivaraman Balakrishnan
Larry A. Wasserman
88
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17 Dec 2017
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective
Ronak R. Mehta
Hyunwoo J. Kim
Shulei Wang
Sterling C. Johnson
Ming Yuan
Vikas Singh
68
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20 Nov 2017
Testing for Global Network Structure Using Small Subgraph Statistics
Chao Gao
John D. Lafferty
142
47
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02 Oct 2017
Adaptive Inferential Method for Monotone Graph Invariants
Junwei Lu
Matey Neykov
Han Liu
60
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28 Jul 2017
Hypothesis Testing For Densities and High-Dimensional Multinomials: Sharp Local Minimax Rates
Sivaraman Balakrishnan
Larry A. Wasserman
98
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30 Jun 2017
Testing Network Structure Using Relations Between Small Subgraph Probabilities
Chao Gao
John D. Lafferty
60
54
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22 Apr 2017
Uniform estimation in stochastic block models is slow
I. Castillo
Peter Orbanz
39
1
0
09 Mar 2017
Approximate
l
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l_0
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-penalized estimation of piecewise-constant signals on graphs
Z. Fan
Leying Guan
71
21
0
04 Mar 2017
Robust Sparse Estimation Tasks in High Dimensions
Jerry Li
133
27
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20 Feb 2017
Technical Report: A Generalized Matching Pursuit Approach for Graph-Structured Sparsity
F. Chen
Baojian Zhou
63
16
0
11 Dec 2016
Optimality and Sub-optimality of PCA for Spiked Random Matrices and Synchronization
Amelia Perry
Alexander S. Wein
Afonso S. Bandeira
Ankur Moitra
137
59
0
19 Sep 2016
Combinatorial Inference for Graphical Models
Matey Neykov
Junwei Lu
Han Liu
TPM
75
21
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10 Aug 2016
Structured Correlation Detection with Application to Colocalization Analysis in Dual-Channel Fluorescence Microscopic Imaging
Shulei Wang
Jia-Xiang Fan
Ginger M. Pocock
Ming Yuan
99
5
0
07 Apr 2016
Nonparametric Detection of Geometric Structures over Networks
Shaofeng Zou
Yingbin Liang
H. V. Poor
60
17
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05 Apr 2016
Detecting a Path of Correlations in a Network
E. Arias-Castro
Gábor Lugosi
Nicolas Verzélen
26
6
0
03 Nov 2015
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