TH2.R4.3

Shared Information under Simple Markov Independencies

Madhura Pathegama, Sagnik Bhattacharya, University of Maryland, College Park, United States
Session:
Information Measures and Randomness
Track:
9: Information Measures
Location:
Omikron II
Presentation Time:
Thu, 11 Jul, 12:10 - 12:30
Session Chair:
Suhas Diggavi, UCLA
Presentation
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Discussion
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Session TH2.R4
TH2.R4.1: On the Relation Between the Common Information Dimension and Wyner Common Information
Osama Hanna, Xinlin Li, Suhas Diggavi, Christina Fragouli, University of California, Los Angeles, United States
TH2.R4.2: Common Randomness Generation from Finite Compound Sources
Rami Ezzine, Moritz Wiese, Technical University of Munich, Germany; Christian Deppe, Technische Universität Braunschweig, Germany; Holger Boche, Technical University of Munich, Germany
TH2.R4.3: Shared Information under Simple Markov Independencies
Madhura Pathegama, Sagnik Bhattacharya, University of Maryland, College Park, United States
TH2.R4.4: Explicit Formula for Partial Information Decomposition
Aobo Lyu, Andrew Clark, Netanel Raviv, Washington University in St. Louis, United States
Resources
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