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VERSION:2.0
PRODID:-//Memento EPFL//
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SUMMARY:Guess What ?
DTSTART:20190312T140000
DTEND:20190312T150000
DTSTAMP:20260406T121546Z
UID:8d38311b13b318bc98dad951c5fb3a2e03459c052ffa5650597d8095
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Igal Sason\, Technion - Israel Institute of Technology I
 gal Sason was born in Israel in 1969. He received the B.Sc. and Ph.D. degr
 ees in electrical engineering from the Technion--Israel Institute of Techn
 ology\, Haifa\, Israel\, in 1992 and 2001\, respectively. During 1993-1997
 \, he worked in Israel as a communication engineer. During 2001-2003\, he 
 was a scientific collaborator at the School of Computer and Communication 
 Sciences at EPFL\, Lausanne\, Switzerland. Since October 2003\, he has bee
 n a faculty member at the  Andrew and Erna Viterbi Faculty of Electrical E
 ngineering of the  Technion - Israel Institute of Technology\, where he is
  currently a professor (since Jan. 2018). His research interests are in in
 formation theory and coding theory.\nThis talk provides upper and lower bo
 unds on the optimal guessing moments of a random variable taking values on
  a finite set when side information may be available. These moments quanti
 fy the number of guesses required for correctly identifying the unknown ob
 ject and\, similarly to Arikan's bounds\, they are expressed in terms of t
 he Arimoto-R\\'{e}nyi conditional entropy.\n\nAlthough Arikan's bounds are
  asymptotically tight\, the improvement of the bounds which are considered
  in this talk is significant in the non-asymptotic regime. Relationships b
 etween moments of the optimal guessing function and the MAP error probabil
 ity are provided\, characterizing the exact locus of their attainable valu
 es.\n* This is a joint work with Sergio Verdu.
LOCATION:INR 113 https://plan.epfl.ch/?room=INR113
STATUS:CONFIRMED
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