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Information in Small Bits is a book produced as part of a non-profit outreach project of the IEEE Information Theory Society.
OutreachInformation in Small Bits
Information in Small Bits is a book produced as part of a non-profit outreach project of the IEEE Information Theory Society. In Chapter 3, Alice and…
Information in Small BitsOutreach
Information in Small Bits is a book produced as part of a non-profit outreach project of the IEEE Information Theory Society.
OutreachInformation in Small Bits
Winner of the ISIT 2020 Student Video Contest
Students: Jeongmin Chae and Minoh Jeong
Coding TheoryChannel Coding
The key insights behind content and collaborative filtering (Matrix Factorization). How Amazon, Netflix, Facebook and others predict what you will…
Recommender SystemsApplications
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
2011 Shannon Lecture
From Constrained Signaling to Network Interference Alignment via an Information-Estimation Perspective
Shlomo Shamai (Shitz)…
Shannon Lectures
2016 ISIT Shannon Lecture
The Classical Capacity of a Quantum Channel
Alexander S. Holevo
Steklov Mathematical Institute
ISIT Plenary LectureShannon Lectures
2008 Shannon Lecture
Source Coding and Simulation
Professor Robert M. Gray
Stanford University
Shannon LecturesISIT Plenary Lecture
2014 Shannon Lecture: On The Mathematics of Distinguishable Difference.
By János Körner, "Sapienza" University of Rome
Shannon Lectures
2007 Shannon Lecture
Teaching IT
Sergio Verdu
Princeton University
Shannon AwardShannon LecturesISIT Plenary Lecture
2018 ISIT Plenary Talk -- Vail, CO
Guidance from Information Theory – an engineering perspective
Gottfried Ungerboeck
ISIT Plenary LectureShannon Lectures
2009 ISIT Shannon Lecture
Optimal Estimation
Professor Jorma Rissanen
University of Tampere
ISIT Plenary LectureShannon Lectures
IEEE ISIT 2020, Los Angeles (Virtual)
Tutorial Lecture
Video image begins at 0:35.
TutorialMachine LearningCoding Theory
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
ISIT 2021, Melbourne, Victoria, AustraliaShannon Lecture
ISIT Plenary LecturePlenary LectureShannon Lectures
IEEE ISIT 2020, Los Angeles (Virtual)
Shannon Lecture
Video image begins at 0:31
Shannon LecturesQuantum Information Theory
2010 ISIT Shannon Lecture
Musing upon Information Theory
Professor Te Sun Han
NICT
Shannon Lectures
2013 ISIT Shannon Lecture
Distance-Divergence Inequalities
Katalin Marton
Alfréd Rényi Institute of Mathematics, Hungarian Academy of Sciences
ISIT Plenary LectureShannon Lectures
Jakob Hoydis' (supported by Sebastian Cammerer, Sebastian Dörner and Tim Uhlemann) full lecture at the 2020 European School of Information Theory…
Deep LearningMachine Learning
IEEE ITW 2021, Virtually from Kanazawa, Japan
Plenary Lecture
Machine LearningSignal ProcessingDeep Learning
IEEE ISIT 2020, Los Angeles (Virtual)
Plenary Lecture
Video begins at 0:30
ISIT Plenary LecturePlenary LectureMachine LearningCoding Theory
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Machine LearningInformation theoryFairness
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Machine LearningInformation theoryFairness
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Machine LearningInformation theoryFairness
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machine Learning