2020 IEEE International Symposium
on Information Theory

21-26 June 2020 • Los Angeles, California, USA

2020 IEEE International Symposium
on Information Theory

21-26 June 2020 • Los Angeles, California, USA

Technical Program

G.1: Graph Analytics

Session Type: Lecture
Track: Graphs, Games, Sparsity, and Signal Processing
Virtual Session: View on Virtual Platform
Session Chair: Emmanuel Abbe, École Polytechnique Fédérale de Lausanne
 
G.1.1: Approximate Recovery Of Ising Models with Side Information
 Click here to download the manuscript
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         Saurabh Sihag; RPI
         Ali Tajer; RPI
 
G.1.2: Minimax Prediction in Tree Ising Models
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         Guy Bresler; MIT
         Mina Karzand; University of Wisconsin-Madison
 
G.1.3: Characterizing the Bethe Partition Function of Double-Edge Factor Graphs via Graph Covers
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         Yuwen Huang; The Chinese University of Hong Kong
         Pascal O Vontobel; The Chinese University of Hong Kong
 
G.1.4: Online Variational Message Passing in Hierarchical Autoregressive Models
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         Albert Podusenko; Eindhoven University of Technology
         Wouter Marco Kouw; Eindhoven University of Technology
         Bert de Vries; Eindhoven University of Technology
 
G.1.5: k-Connectivity in Random Graphs induced by Pairwise Key Predistribution Schemes
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         Mansi Sood; Carnegie Mellon University Pittsburgh
         Osman Yagan; Carnegie Mellon University Pittsburgh
 
G.1.6: Temporal Ordered Clustering in Dynamic Networks
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         Krzysztof Turowski; Jagiellonian University
         Jithin Sreedharan; Purdue University
         Wojciech Szpankowski; Purdue University
 
G.1.7: Community Detection with Secondary Latent Variables
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         Mohammad Esmaeili; The University of Texas at Dallas
         Aria Nosratinia; The University of Texas at Dallas
 

Plan Ahead

IEEE ISIT 2021

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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