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

L.1: Application-Specific Learning

Session Type: Lecture
Track: Statistics and Learning Theory
Virtual Session: View on Virtual Platform
Session Chair: Guy Bresler, Massachusetts Institute of Technology
 
L.1.1: Achievability Bounds for Community Detection and Matrix Completion with Two-Sided Graph Side-Information
 Click here to download the manuscript
 Click here to view the Virtual Presentation
         Qiaosheng Zhang; National University of Singapore
         Vincent Y. F. Tan; National University of Singapore
         Changho Suh; Korea Advanced Institute of Science and Technology
 
L.1.2: Provable Efficient Skeleton Learning of Encodable Discrete Bayes Nets in Poly-Time and Sample Complexity
 Click here to download the manuscript
 Click here to view the Virtual Presentation
         Adarsh Barik; Purdue University
         Jean Honorio; Purdue University
 
L.1.3: Optimal Learning of Joint Alignments with a Faulty Oracle
 Click here to download the manuscript
 Click here to view the Virtual Presentation
         Kasper Green Larsen; Aarhus university
         Michael Mitzenmacher; Harvard university
         Charalampos Tsourakakis; Boston University
 
L.1.4: An Efficient Neural Network Architecture for Rate Maximization in Energy Harvesting Downlink Channels
 Click here to download the manuscript
 Click here to view the Virtual Presentation
         Heasung Kim; Seoul National University
         Taehyun Cho; Seoul National University
         Jungwoo Lee; Seoul National University
         Wonjae Shin; Pusan National University
         Harold Vincent Poor; Princeton University
 
L.1.5: Online Memorization of Random Firing Sequences by a Recurrent Neural Network
 Click here to download the manuscript
 Click here to view the Virtual Presentation
         Patrick Murer; ETH Zurich
         Hans-Andrea Loeliger; ETH Zurich
 

Plan Ahead

IEEE ISIT 2021

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

Visit Website!