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Computational Lower Bounds for Community Detection on Random Graphs
v1v2v3 (latest)

Computational Lower Bounds for Community Detection on Random Graphs

Annual Conference Computational Learning Theory (COLT), 2014
25 June 2014
Bruce Hajek
Yihong Wu
Jiaming Xu
ArXiv (abs)PDFHTML

Papers citing "Computational Lower Bounds for Community Detection on Random Graphs"

50 / 61 papers shown
Title
Robust Detection of Planted Subgraphs in Semi-Random Models
Robust Detection of Planted Subgraphs in Semi-Random Models
Dor Elimelech
Wasim Huleihel
AAML
48
0
0
04 Aug 2025
Statistical inference of a ranked community in a directed graph
Statistical inference of a ranked community in a directed graphSymposium on the Theory of Computing (STOC), 2024
Dmitriy Kunisky
Daniel A. Spielman
Alexander S. Wein
Xifan Yu
163
1
0
18 Nov 2024
Counting Stars is Constant-Degree Optimal For Detecting Any Planted
  Subgraph
Counting Stars is Constant-Degree Optimal For Detecting Any Planted Subgraph
Xifan Yu
Ilias Zadik
Peiyuan Zhang
131
3
0
26 Mar 2024
Information-Theoretic Thresholds for Planted Dense Cycles
Information-Theoretic Thresholds for Planted Dense Cycles
Cheng Mao
Alexander S. Wein
Shenduo Zhang
213
5
0
01 Feb 2024
Detection of Model-based Planted Pseudo-cliques in Random Dot Product Graphs by the Adjacency Spectral Embedding and the Graph Encoder Embedding
Detection of Model-based Planted Pseudo-cliques in Random Dot Product Graphs by the Adjacency Spectral Embedding and the Graph Encoder Embedding
Tong Qi
V. Lyzinski
156
1
0
18 Dec 2023
Detection-Recovery and Detection-Refutation Gaps via Reductions from
  Planted Clique
Detection-Recovery and Detection-Refutation Gaps via Reductions from Planted CliqueAnnual Conference Computational Learning Theory (COLT), 2023
Guy Bresler
Tianze Jiang
195
5
0
30 Jun 2023
Detection and Recovery of Hidden Submatrices
Detection and Recovery of Hidden SubmatricesIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2023
M. Dadon
Wasim Huleihel
Tamir Bendory
251
5
0
11 Jun 2023
Bayes optimal learning in high-dimensional linear regression with
  network side information
Bayes optimal learning in high-dimensional linear regression with network side informationIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Sagnik Nandy
Subhabrata Sen
246
2
0
09 Jun 2023
Algorithmic Decorrelation and Planted Clique in Dependent Random Graphs:
  The Case of Extra Triangles
Algorithmic Decorrelation and Planted Clique in Dependent Random Graphs: The Case of Extra TrianglesIEEE Annual Symposium on Foundations of Computer Science (FOCS), 2023
Guy Bresler
Chenghao Guo
Yury Polyanskiy
166
2
0
17 May 2023
Detection of Dense Subhypergraphs by Low-Degree Polynomials
Detection of Dense Subhypergraphs by Low-Degree Polynomials
A. Dhawan
Cheng Mao
Alexander S. Wein
152
13
0
17 Apr 2023
Localized geometry detection in scale-free random graphs
Localized geometry detection in scale-free random graphs
G. Bet
Riccardo Michielan
C. Stegehuis
120
0
0
06 Mar 2023
Detection-Recovery Gap for Planted Dense Cycles
Detection-Recovery Gap for Planted Dense CyclesAnnual Conference Computational Learning Theory (COLT), 2023
Cheng Mao
Alexander S. Wein
Sheng Z. Zhang
261
12
0
13 Feb 2023
Planted Bipartite Graph Detection
Planted Bipartite Graph DetectionIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Asaf Rotenberg
Wasim Huleihel
O. Shayevitz
152
1
0
07 Feb 2023
Is it easier to count communities than find them?
Is it easier to count communities than find them?Information Technology Convergence and Services (ITCS), 2022
Cynthia Rush
Fiona Skerman
Alexander S. Wein
Dana Yang
195
11
0
21 Dec 2022
Average-Case Complexity of Tensor Decomposition for Low-Degree
  Polynomials
Average-Case Complexity of Tensor Decomposition for Low-Degree PolynomialsSymposium on the Theory of Computing (STOC), 2022
Alexander S. Wein
241
13
0
10 Nov 2022
Community Recovery in the Geometric Block Model
Community Recovery in the Geometric Block ModelJournal of machine learning research (JMLR), 2022
Sainyam Galhotra
A. Mazumdar
S. Pal
B. Saha
219
8
0
22 Jun 2022
The Franz-Parisi Criterion and Computational Trade-offs in High
  Dimensional Statistics
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional StatisticsNeural Information Processing Systems (NeurIPS), 2022
Afonso S. Bandeira
A. Alaoui
Samuel B. Hopkins
T. Schramm
Alexander S. Wein
Ilias Zadik
196
39
0
19 May 2022
Planted Dense Subgraphs in Dense Random Graphs Can Be Recovered using
  Graph-based Machine Learning
Planted Dense Subgraphs in Dense Random Graphs Can Be Recovered using Graph-based Machine LearningJournal of Artificial Intelligence Research (JAIR), 2022
Itay Levinas
Y. Louzoun
101
2
0
05 Jan 2022
Lattice-Based Methods Surpass Sum-of-Squares in Clustering
Lattice-Based Methods Surpass Sum-of-Squares in Clustering
Ilias Zadik
M. Song
Alexander S. Wein
Joan Bruna
198
40
0
07 Dec 2021
Inferring Hidden Structures in Random Graphs
Inferring Hidden Structures in Random Graphs
Wasim Huleihel
193
8
0
05 Oct 2021
Random Subgraph Detection Using Queries
Random Subgraph Detection Using Queries
Wasim Huleihel
A. Mazumdar
S. Pal
394
7
0
02 Oct 2021
Logspace Reducibility From Secret Leakage Planted Clique
Logspace Reducibility From Secret Leakage Planted Clique
Jay Mardia
168
0
0
25 Jul 2021
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent
Statistical Query Algorithms and Low-Degree Tests Are Almost EquivalentAnnual Conference Computational Learning Theory (COLT), 2020
Matthew Brennan
Guy Bresler
Samuel B. Hopkins
Haibin Zhang
T. Schramm
358
66
0
13 Sep 2020
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique
  Detection
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique DetectionAnnual Conference Computational Learning Theory (COLT), 2020
Yuetian Luo
Anru R. Zhang
113
15
0
12 Sep 2020
Is the space complexity of planted clique recovery the same as that of
  detection?
Is the space complexity of planted clique recovery the same as that of detection?Information Technology Convergence and Services (ITCS), 2020
Jay Mardia
152
2
0
28 Aug 2020
Computational Barriers to Estimation from Low-Degree Polynomials
Computational Barriers to Estimation from Low-Degree Polynomials
T. Schramm
Alexander S. Wein
249
75
0
05 Aug 2020
Tensor Clustering with Planted Structures: Statistical Optimality and
  Computational Limits
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits
Yuetian Luo
Anru R. Zhang
454
52
0
21 May 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage
Reducibility and Statistical-Computational Gaps from Secret Leakage
Matthew Brennan
Guy Bresler
294
99
0
16 May 2020
Phase Transitions for Detecting Latent Geometry in Random Graphs
Phase Transitions for Detecting Latent Geometry in Random GraphsProbability theory and related fields (PTRF), 2019
Matthew Brennan
Guy Bresler
Dheeraj M. Nagaraj
226
37
0
30 Oct 2019
Detecting a planted community in an inhomogeneous random graph
Detecting a planted community in an inhomogeneous random graph
K. Bogerd
Rui M. Castro
R. Hofstad
Nicolas Verzélen
68
3
0
07 Sep 2019
Average-Case Lower Bounds for Learning Sparse Mixtures, Robust
  Estimation and Semirandom Adversaries
Average-Case Lower Bounds for Learning Sparse Mixtures, Robust Estimation and Semirandom Adversaries
Matthew Brennan
Guy Bresler
293
12
0
08 Aug 2019
Notes on Computational Hardness of Hypothesis Testing: Predictions using
  the Low-Degree Likelihood Ratio
Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
208
161
0
26 Jul 2019
More Supervision, Less Computation: Statistical-Computational Tradeoffs
  in Weakly Supervised Learning
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised LearningNeural Information Processing Systems (NeurIPS), 2019
Xinyang Yi
Zhaoran Wang
Zhuoran Yang
Constantine Caramanis
Han Liu
182
6
0
14 Jul 2019
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to
  Strong Hardness
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness
Matthew Brennan
Guy Bresler
146
54
0
20 Feb 2019
Universality of Computational Lower Bounds for Submatrix Detection
Universality of Computational Lower Bounds for Submatrix Detection
Matthew Brennan
Guy Bresler
Wasim Huleihel
223
28
0
19 Feb 2019
Recovering a Single Community with Side Information
Recovering a Single Community with Side Information
H. Saad
Aria Nosratinia
163
13
0
05 Sep 2018
Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models
  and Phase Retrieval
Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval
Jianqing Fan
Han Liu
Zhaoran Wang
Zhuoran Yang
189
22
0
21 Aug 2018
Reducibility and Computational Lower Bounds for Problems with Planted
  Sparse Structure
Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure
Matthew Brennan
Guy Bresler
Wasim Huleihel
259
117
0
19 Jun 2018
Statistical Problems with Planted Structures: Information-Theoretical
  and Computational Limits
Statistical Problems with Planted Structures: Information-Theoretical and Computational Limits
Yihong Wu
Jiaming Xu
250
41
0
31 May 2018
Connectivity in Random Annulus Graphs and the Geometric Block Model
Connectivity in Random Annulus Graphs and the Geometric Block Model
Sainyam Galhotra
A. Mazumdar
S. Pal
B. Saha
221
11
0
12 Apr 2018
Notes on computational-to-statistical gaps: predictions using
  statistical physics
Notes on computational-to-statistical gaps: predictions using statistical physics
Afonso S. Bandeira
Amelia Perry
Alexander S. Wein
AI4CE
225
61
0
29 Mar 2018
Optimal link prediction with matrix logistic regression
Optimal link prediction with matrix logistic regression
Nicolai Baldin
Quentin Berthet
152
17
0
19 Mar 2018
Statistical and Computational Limits for Sparse Matrix Detection
Statistical and Computational Limits for Sparse Matrix Detection
T. Tony Cai
Yihong Wu
146
19
0
01 Jan 2018
The Geometric Block Model
The Geometric Block Model
Sainyam Galhotra
A. Mazumdar
S. Pal
B. Saha
189
30
0
16 Sep 2017
Query Complexity of Clustering with Side Information
Query Complexity of Clustering with Side Information
A. Mazumdar
B. Saha
177
49
0
23 Jun 2017
Inference in Sparse Graphs with Pairwise Measurements and Side
  Information
Inference in Sparse Graphs with Pairwise Measurements and Side Information
Dylan J. Foster
Daniel Reichman
Karthik Sridharan
249
7
0
08 Mar 2017
Tensor SVD: Statistical and Computational Limits
Tensor SVD: Statistical and Computational Limits
Anru R. Zhang
Dong Xia
319
190
0
08 Mar 2017
The use of deep learning in image segmentation, classification and
  detection
The use of deep learning in image segmentation, classification and detection
Mihai-Sorin Badea
Iulian-Ionut Felea
L. Florea
C. Vertan
181
43
0
31 May 2016
Semidefinite Programs for Exact Recovery of a Hidden Community
Semidefinite Programs for Exact Recovery of a Hidden Community
Bruce Hajek
Yihong Wu
Jiaming Xu
283
33
0
20 Feb 2016
Sharp Computational-Statistical Phase Transitions via Oracle
  Computational Model
Sharp Computational-Statistical Phase Transitions via Oracle Computational Model
Zhaoran Wang
Quanquan Gu
Han Liu
205
12
0
30 Dec 2015
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