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Information-theoretic Limits for Community Detection in Network Models
v1v2 (latest)

Information-theoretic Limits for Community Detection in Network Models

16 February 2018
Chuyang Ke
Jean Honorio
ArXiv (abs)PDFHTML

Papers citing "Information-theoretic Limits for Community Detection in Network Models"

6 / 6 papers shown
Title
Exact Inference in High-order Structured Prediction
Exact Inference in High-order Structured Prediction
Chuyang Ke
Jean Honorio
48
3
0
07 Feb 2023
Community Detection with Known, Unknown, or Partially Known Auxiliary
  Latent Variables
Community Detection with Known, Unknown, or Partially Known Auxiliary Latent Variables
Mohammadjafar Esmaeili
Aria Nosratinia
100
3
0
08 Jan 2023
Information-Theoretic Bounds for Integral Estimation
Information-Theoretic Bounds for Integral Estimation
Donald Q. Adams
Adarsh Barik
Jean Honorio
159
0
0
19 Feb 2021
Information-Theoretic Lower Bounds for Zero-Order Stochastic Gradient
  Estimation
Information-Theoretic Lower Bounds for Zero-Order Stochastic Gradient Estimation
Abdulrahman Alabdulkareem
Jean Honorio
143
2
0
31 Mar 2020
First Order Methods take Exponential Time to Converge to Global
  Minimizers of Non-Convex Functions
First Order Methods take Exponential Time to Converge to Global Minimizers of Non-Convex Functions
Krishna Reddy Kesari
Jean Honorio
117
1
0
28 Feb 2020
Exact Inference with Latent Variables in an Arbitrary Domain
Exact Inference with Latent Variables in an Arbitrary Domain
Chuyang Ke
Jean Honorio
29
2
0
28 Jan 2019
1