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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
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Data sharingPrivacy
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
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Data sharingPrivacy
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Mutual information Machines learning Estimation
Winner of the ISIT 2020 Student Video Contest
Students: Jeongmin Chae and Minoh Jeong
Coding TheoryChannel Coding
Trailer for a new film by Mark Levinson (Particle Fever) about Claude Shannon, the "Father of Information Theory," whose ideas influence such diverse…
Outreach
The key insights behind content and collaborative filtering (Matrix Factorization). How Amazon, Netflix, Facebook and others predict what you will…
Recommender SystemsApplications
IEEE ITW 2020, Riva del Garda, Italy
Tutorial
Deep LearningDistributed LearningTutorial
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Data sharingPrivacy
Meet the Shannon Lecturer -- An Interview to Alon Orlitsky.
By Student and Outreach Subcommittee
OutreachShannon AwardInterview
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
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machines learningDistributed LearningDistributed Systems
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Mutual information Machines learning Estimation
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Mutual information Machines learning Estimation
Ayfer Özgür's full lecture at the 2020 European School of Information Theory Stuttgart, Germany
Distributed Learning
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machines learningDistributed LearningDistributed Systems