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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.
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
The 2017 IEEE International Symposium on Information Theory was held in Aachen, Germany from June 25 through June 30, 2017.
Interview
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Coding TheoryLocally-testable codesLocally-decodable codes
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Coding TheoryLocally-testable codesLocally-decodable codes
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Coding TheoryLocally-testable codesLocally-decodable codes
Sennur Ulukus's full lecture at the 2020 European School of Information Theory Stuttgart, Germany
Private Information Retrieval
IEEE ISIT 2020, Los Angeles (Virtual)
Tutorial Lecture
Video image begins at 0:35.
TutorialMachine LearningCoding Theory
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 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