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Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE
v1v2v3 (latest)

Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE

23 March 2020
Jeonghwa Lee
Daesung Kim
Hye Won Chung
ArXiv (abs)PDFHTML

Papers citing "Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE"

7 / 7 papers shown
Title
Strong Consistency Guarantees for Clustering High-Dimensional Bipartite
  Graphs with the Spectral Method
Strong Consistency Guarantees for Clustering High-Dimensional Bipartite Graphs with the Spectral Method
Guillaume Braun
87
2
0
14 Apr 2023
Sparse random hypergraphs: Non-backtracking spectra and community
  detection
Sparse random hypergraphs: Non-backtracking spectra and community detection
Ludovic Stephan
Yizhe Zhu
62
21
0
14 Mar 2022
Partial recovery and weak consistency in the non-uniform hypergraph
  Stochastic Block Model
Partial recovery and weak consistency in the non-uniform hypergraph Stochastic Block Model
Ioana Dumitriu
Haixiao Wang
Yizhe Zhu
65
12
0
22 Dec 2021
A Worker-Task Specialization Model for Crowdsourcing: Efficient
  Inference and Fundamental Limits
A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits
Doyeon Kim
Jeonghwa Lee
Hye Won Chung
90
3
0
19 Nov 2021
Exact Recovery in the General Hypergraph Stochastic Block Model
Exact Recovery in the General Hypergraph Stochastic Block Model
Q. Zhang
Vincent Y. F. Tan
96
22
0
11 May 2021
Crowdsourced Labeling for Worker-Task Specialization Model
Crowdsourced Labeling for Worker-Task Specialization Model
Doyeon Kim
Hye Won Chung
FedML
36
1
0
21 Mar 2020
Binary Classification with XOR Queries: Fundamental Limits and An
  Efficient Algorithm
Binary Classification with XOR Queries: Fundamental Limits and An Efficient Algorithm
Daesung Kim
Hye Won Chung
39
3
0
31 Jan 2020
1