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We found 12 result.
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Information Theoretic Foundations for Data Science - Part 2
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
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Active Methods: Learning as you go and as fast as you can  - Part 3
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
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Machine-Learning Based Approaches To Coding
Â鶹´«Ã½Ó³»­ ISIT 2020, Los Angeles (Virtual) Tutorial Lecture Video image begins at 0:35.
TutorialMachine LearningCoding Theory
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Active Methods: Learning as you go and as fast as you can - Part 1
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
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Active Methods: Learning as you go and as fast as you can  - Part 2
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
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Information Theoretic Foundations for Data Science - Part 1
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
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Fair Machine Learning via Information Theory (3/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Machine LearningInformation theoryFairness
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Fair Machine Learning via Information Theory (2/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Machine LearningInformation theoryFairness
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Fair Machine Learning via Information Theory (1/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Machine LearningInformation theoryFairness
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Communication and Sensing: From Compressed Sampling to Model-based Deep Learning
Â鶹´«Ã½Ó³»­ ITW 2021, Virtually from Kanazawa, Japan Plenary Lecture
Machine LearningSignal ProcessingDeep Learning
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Neural Augmentation In Wireless Communication
Â鶹´«Ã½Ó³»­ ISIT 2020, Los Angeles (Virtual) Plenary Lecture Video begins at 0:30
ISIT Plenary LecturePlenary LectureMachine LearningCoding Theory
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Deep Learning Applications in Communications
Jakob Hoydis' (supported by Sebastian Cammerer, Sebastian Dörner and Tim Uhlemann) full lecture at the 2020 European School of Information Theory…
Deep LearningMachine Learning