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

E.6: Hypothesis Testing II

Session Type: Lecture
Track: Detection and Estimation
Virtual Session: View on Virtual Platform
Session Chair: Jonathan Scarlett, National University of Singapore
 
E.6.1: Strong Converse for Testing Against Independence over a Noisy channel
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         Sreejith Sreekumar; Imperial College London
         Deniz Gunduz; Imperial College London
 
E.6.2: Hypothesis Testing Against Independence Under Gaussian Noise
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         Abdellatif Zaidi; Universite Paris-Est
 
E.6.3: Second-Order Asymptotics of Sequential Hypothesis Testing
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         Yonglong Li; National University of Singapore
         Vincent, Y. F. Tan; National University of Singapore
 
E.6.4: Data-Driven Representations for Testing Independence: A Connection with Mutual Information Estimation
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         Mauricio Gonzales; Universidad de Chile
         Jorge F. Silva; Universidad de Chile
 
E.6.5: Recovering Structure of Noisy Data through Hypothesis Testing
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         Minoh Jeong; University of Minnesota
         Alex Dytso; Princeton University
         Martina Cardone; University of Minnesota
         H. Vincent Poor; Princeton University
 
E.6.6: On the Error Exponent of Approximate Sufficient Statistics for M-ary Hypothesis Testing
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         Jiachun Pan; National University of Singapore
         Yonglong Li; National University of Singapore
         Vincent Y. F. Tan; National University of Singapore
         Yonina C. Eldar; Weizmann Institute of Science
 

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IEEE ISIT 2021

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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