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Â鶹´«Ã½AV Transactions on Information Theory
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Concentration Inequalities and The Entropy Method
2013 ISIT Plenary Lecture Concentration Inequalities and The Entropy Method Gábor Lugosi Department of Economics, Pompeu Fabra University
ISIT Plenary Lecture
Information bottlenecks in emerging distributed systems - Part 2
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machines learning
Distributed Learning
Distributed Systems
High Dimensional Classification with Invariant Deep Networks
2013 ISIT Plenary Lecture High Dimensional Classification with Invariant Deep Networks Stéphane Mallat École Normale Supérieure
ISIT Plenary Lecture
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
Finite-Blocklength Schemes in Information Theory (3/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Information theory
Coding Theory
Finite blocklength
Fundamental Trade-Offs between Privacy and Utility in Data Sharing (2/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Data sharing
Privacy
Locally-Testable and Locally-Decodable Codes (1/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Coding Theory
Locally-testable codes
Locally-decodable codes
Random Walk on High Dimensional Expanders (2/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Random Walk
High dimensional expander
Hypergraphs
Estimation and Hypothesis Testing under Information Constraints (Part 3/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Estimation
Hypothesis Testing
Distributed Systems
Secrecy
Finite-Blocklength Schemes in Information Theory (1/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Information theory
Coding Theory
Finite blocklength
Finite-Blocklength Schemes in Information Theory (2/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Information theory
Coding Theory
Finite blocklength
Polar Codes: Origins to 5G and Beyond - Part 1
Channel Coding
Coding Theory
Polar Codes
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
An Information Theoretic Perspective on Database and Graph Matching - Part 1
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Database Graph Matching
Information bottlenecks in emerging distributed systems - Part 1
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machines learning
Distributed Learning
Distributed Systems
Fair Machine Learning via Information Theory (3/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Machine Learning
Information theory
Fairness
Fair Machine Learning via Information Theory (2/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Machine Learning
Information theory
Fairness
Fair Machine Learning via Information Theory (1/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Machine Learning
Information theory
Fairness
Estimation and Hypothesis Testing under Information Constraints (Part 2/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Estimation
Hypothesis Testing
Distributed Systems
Secrecy
Locally-Testable and Locally-Decodable Codes (2/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Coding Theory
Locally-testable codes
Locally-decodable codes
Fundamental Trade-Offs between Privacy and Utility in Data Sharing (1/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Data sharing
Privacy
Mutual Information in Machine Learning (3/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Mutual information
Machines learning
Estimation
Mutual Information in Machine Learning (2/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Mutual information
Machines learning
Estimation
Random Walk on High Dimensional Expanders (3/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Random Walk
High dimensional expander
Hypergraphs
Random Walk on High Dimensional Expanders (1/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Random Walk
High dimensional expander
Hypergraphs
Fundamental Trade-Offs between Privacy and Utility in Data Sharing (3/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Data sharing
Privacy
Locally-Testable and Locally-Decodable Codes (3/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Coding Theory
Locally-testable codes
Locally-decodable codes
Estimation and Hypothesis Testing under Information Constraints (1/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Estimation
Hypothesis Testing
Distributed Systems
Secrecy
Mutual Information in Machine Learning (1/3)
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture
Mutual information
Machines learning
Estimation
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
Polar Codes: Origins to 5G and Beyond - Part 2
Channel Coding
Coding Theory
Polar Codes
An Information Theoretic Perspective on Database and Graph Matching - Part 2
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Database Graph Matching
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
Community-Aware Group Testing
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Group Testing
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
