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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 learningDistributed LearningDistributed Systems

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

Quantum Information Theory

David Sutter's full lecture at the 2020 European School of Information Theory Stuttgart, Germany

Quantum Information Theory

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 theoryCoding TheoryFinite 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 sharingPrivacy

Locally-Testable and Locally-Decodable Codes (1/3)

2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture

Coding TheoryLocally-testable codesLocally-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 WalkHigh 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

EstimationHypothesis TestingDistributed SystemsSecrecy

Finite-Blocklength Schemes in Information Theory (1/3)

2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture

Information theoryCoding TheoryFinite blocklength

Finite-Blocklength Schemes in Information Theory (2/3)

2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture

Information theoryCoding TheoryFinite blocklength

Private Information Retrieval

Sennur Ulukus's full lecture at the 2020 European School of Information Theory Stuttgart, Germany

Private Information Retrieval

Deep Learning for Inverse Problems

Reinhard Heckel's short lecture at the 2020 European School of Information Theory Stuttgart, Germany

Deep Learning

Communication-Efficient and Privacy-Preserving Distributed Learning

Ayfer Özgür's full lecture at the 2020 European School of Information Theory Stuttgart, Germany

Distributed Learning

Spatially Coupled LDPC Codes - Theory and Applications

Laurent Schmalen's short lecture at the 2020 European School of Information Theory Stuttgart, Germany

LDPC Codes

Making Blockchains Scalable and Efficient - the Power of Codes

Swanand Kadhe's full lecture at the 2020 European School of Information Theory Stuttgart, Germany

BlockchainCoding Theory

Efficient Decoding of Polar Codes - Algorithms and Implementations

Alexios Balatsoukas-Stimming's full lecture at the 2020 European School of Information Theory Stuttgart, Germany

Polar Codes

Polar Codes: Origins to 5G and Beyond - Part 1

Channel CodingCoding TheoryPolar 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 learningDistributed LearningDistributed Systems

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

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

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

Estimation and Hypothesis Testing under Information Constraints (Part 2/3)

2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture

EstimationHypothesis TestingDistributed SystemsSecrecy

Locally-Testable and Locally-Decodable Codes (2/3)

2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture

Coding TheoryLocally-testable codesLocally-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 sharingPrivacy

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 WalkHigh 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 WalkHigh 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 sharingPrivacy

Locally-Testable and Locally-Decodable Codes (3/3)

2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong Lecture

Coding TheoryLocally-testable codesLocally-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

EstimationHypothesis TestingDistributed SystemsSecrecy

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 CodingCoding TheoryPolar 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