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2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
EstimationHypothesis TestingDistributed SystemsSecrecy
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
EstimationHypothesis TestingDistributed SystemsSecrecy
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
EstimationHypothesis TestingDistributed SystemsSecrecy
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machines learningDistributed LearningDistributed Systems
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machines learningDistributed LearningDistributed Systems
IEEE ISIT 2020, Los Angeles (Virtual)
Plenary Lecture
Video image begins at 0:31
ISIT Plenary LecturePlenary LectureOptimization
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
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
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
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Mutual information Machines learning Estimation