Technical Program

S.9: Information Measures I

Session Type: Lecture
Track: Shannon Theory
Virtual Session: View on Virtual Platform
Session Chair: Mokshay Madiman, University of Delaware
 
S.9.1: On Nonparametric Estimation of the Fisher Information
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         Wei Cao; University of Electronic Science and Technology of China
         Alex Dytso; Princeton University
         Michael Fauss; Princeton University
         H. Vincent Poor; Princeton University
         Gang Feng; University of Electronic Science and Technology of China
 
S.9.2: Strong Asymptotic Composition Theorems for Sibson Mutual Information
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         Benjamin Huang Wu; Cornell University
         Aaron B. Wagner; Cornell University
         G. Edward Suh; Cornell University
         Ibrahim Issa; American University of Beirut
 
S.9.3: On the Trackability of Stochastic Processes Based on Causal Information
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         Baran Tan Bacinoglu; Middle East Technical University
         Yin Sun; Auburn University
         Elif Uysal; Middle East Technical University
 
S.9.4: Approximate Gács-Körner Common Information
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         Salman Salamatian; MIT
         Asaf Cohen; Ben Gurion University of the Negev
         Muriel Médard; MIT
 
S.9.5: On the Compressibility of Affinely Singular Random Vectors
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         Mohammad-Amin Charusaie; Sharif University of Technology
         Stefano Rini; National Chiao Tung University
         Arash Amini; Sharif University of Technology
 

Plan Ahead

IEEE ISIT 2021

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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