S.11: Renyi Entropy |
| Session Type: Lecture |
| Track: Shannon Theory |
| Virtual Session: View on Virtual Platform |
| Session Chair: Ofer Shayevitz, Tel Aviv University
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S.11.1: Rényi Divergence rates of Ergodic Markov Chains: existence, explicit expressions and properties
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| Valérie Girardin; Laboratoire de Mathématiques Nicolas Oresme |
| Philippe Regnault; Laboratoire de Mathématiques de Reims |
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S.11.2: On the Second- and Third-Order Asymptotics of Smooth Rényi Entropy and Their Applications
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| Yuta Sakai; National University of Singapore |
| Vincent Y. F. Tan; National University of Singapore |
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S.11.3: Optimum Source Resolvability Rate with Respect to f-Divergences Using the Smooth Renyi Entropy
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| Ryo Nomura; Waseda University |
| Hideki Yagi; The University of Electro-Communications |
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S.11.4: On the Rényi Entropy of Log-Concave Sequences
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| James Melbourne; University of Minnesota |
| Tomasz Tkocz; Carnegie Mellon University |
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S.11.5: Rényi Bounds on Information Combining
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| Christoph Hirche; University of Copenhagen |
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S.11.6: Explicit Renyi Entropy for Hidden Markov Models
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| Joachim Breitner; University of Pennsylvania |
| Maciej Skorski; University of Luxembourg |
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