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IEEE ISIT 2020, Los Angeles (Virtual)
Plenary Lecture
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ISIT Plenary LecturePlenary LectureMachine LearningCoding Theory
The key insights behind content and collaborative filtering (Matrix Factorization). How Amazon, Netflix, Facebook and others predict what you will…
Recommender SystemsApplications
IEEE ISIT 2020, Los Angeles (Virtual)
Tutorial Lecture
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TutorialMachine LearningCoding Theory
2008 ISIT Plenary Lecture
Golay, Heisenberg and Weyl
Professor Robert Calderbank
Princeton University
ISIT Plenary Lecture
Jakob Hoydis' (supported by Sebastian Cammerer, Sebastian Dörner and Tim Uhlemann) full lecture at the 2020 European School of Information Theory…
Deep LearningMachine Learning
2008 Shannon Lecture
Robert M. Gray (Stanford University)
Shannon LecturesISIT Plenary Lecture
2013 ISIT Plenary Lecture
Concentration Inequalities and The Entropy Method
Gábor Lugosi
Department of Economics, Pompeu Fabra University
ISIT Plenary Lecture
IEEE ISIT 2020, Los Angeles (Virtual)
Plenary Lecture
Video image begins at 0:31
ISIT Plenary LecturePlenary LectureOptimization
2008 ISIT Plenary Lecture
From Two to Infinity: Information Theory and Statistics for Large Alphabets
Professor Alon Orlitsky
University of…
ISIT Plenary Lecture
2013 ISIT Plenary Lecture
High Dimensional Classification with Invariant Deep Networks
Stéphane Mallat
École Normale Supérieure
ISIT Plenary Lecture
2008 ISIT Plenary Talk
Randomness - A Computational Complexity View
Professor Avi Wigderson
Institute for Advanced Study
Princeton University
ISIT Plenary Lecture
IEEE ISIT 2020, Los Angeles (Virtual)
Plenary Lecture
Video image begins at 0:30
ISIT Plenary LecturePlenary LectureInformation Theory in Biology
IEEE ISIT 2020, Los Angeles (Virtual)
Plenary Lecture
Video image begins at 0:15
ISIT Plenary LecturePlenary Lecture