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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)
Plenary Lecture
Video image begins at 0:31
ISIT Plenary LecturePlenary LectureOptimization
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Coding TheoryLocally-testable codesLocally-decodable codes
Information Theory Society presents how the Lempel-Ziv lossless compression algorithm works. It was published in 1978 and improved by Welch in 1984…
Source CodingCoding
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Coding TheoryLocally-testable codesLocally-decodable codes
IEEE ITW 2020, Riva del Garda, Italy
Plenary Lecture
ITW Plenary LecturePlenary Lecture
IEEE ITW 2020, Riva del Garda, Italy
Plenary Lecture
ITW Plenary LecturePlenary Lecture
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Coding TheoryLocally-testable codesLocally-decodable codes
Information Theory Society presents the key concepts needed to understand low-density parity-check codes (LDPC codes). It's a blend of repetition…
LDPC CodesCoding
IEEE ITW 2020, Riva del Garda, Italy
Tutorial
Deep LearningDistributed LearningTutorial
IEEE ITW 2020, Riva del Garda, Italy
Plenary Lecture
ITW Plenary LecturePlenary Lecture
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machines learningDistributed LearningDistributed Systems
IEEE ITW 2020, Riva del Garda, Italy
Plenary Lecture
ITW Plenary LecturePlenary Lecture
IEEE ITW 2020, Riva del Garda, Italy
Plenary Lecture
ITW Plenary LecturePlenary Lecture
IEEE ITW 2020, Riva del Garda, Italy
Plenary Lecture
ITW Plenary LecturePlenary Lecture
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