2020 IEEE International Symposium
on Information Theory

Technical Program

S.6: Finite-blocklength Analysis
Session Type: Lecture
Track: Shannon Theory
Virtual Session: View on Virtual Platform
Session Chair: Masahito Hayashi, Nagoya University

S.6.1: Finite-Blocklength Performance of Sequential Transmission over BSC with Noiseless Feedback
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Hengjie Yang; University of California, Los Angeles
Richard D. Wesel; University of California, Los Angeles

S.6.2: Resolution Limits of Non-Adaptive Querying for Noisy 20 Questions Estimation
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Lin Zhou; University of Michigan, Ann Arbor
Alfred Hero; University of Michigan, Ann Arbor

S.6.3: Low Complexity Algorithms for Transmission of Short Blocks over the BSC with Full Feedback
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Amaael Antonini; University of California, Los Angeles
Hengjie Yang; University of California, Los Angeles
Richard D. Wesel; University of California, Los Angeles

S.6.4: Lossless Data Compression with Side Information: Nonasymptotics and Dispersion
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Lampros Gavalakis; University of Cambridge
Ioannis Kontoyiannis; University of Cambridge

Plan Ahead

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia