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Understanding Generative Adversarial Networks

15th Annual Shannon Memorial Lecture Understanding Generative Adversarial Networks David Tse Stanford University

Generative Adversarial Networks

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

Coded Caching: Past, Present, Future

�鶹��ýAV ITW 2020, Riva del Garda, Italy Plenary Lecture

ITW Plenary LecturePlenary 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

The generalization error of overparametrized models: Insights from exact asymptotics

�鶹��ýAV ITW 2020, Riva del Garda, Italy Plenary Lecture

ITW Plenary LecturePlenary Lecture

An Introduction to Quantum Computation

�鶹��ýAV ITW 2020, Riva del Garda, Italy Tutorial

Tutorial

Diversity vs. Parallelism in Distributed Computing with Redundancy

�鶹��ýAV ITW 2020, Riva del Garda, Italy Plenary Lecture

ITW Plenary LecturePlenary Lecture

Explicit and Implicit Inductive Bias in Deep Learning

�鶹��ýAV ITW 2020, Riva del Garda, Italy Tutorial

Deep LearningDistributed LearningTutorial

Data Driven Algorithm Design

�鶹��ýAV ITW 2020, Riva del Garda, Italy Plenary Lecture

ITW Plenary LecturePlenary Lecture

Information-directed Exploration in Bandits and Reinforcement Learning

�鶹��ýAV ITW 2020, Riva del Garda, Italy Plenary Lecture

ITW Plenary LecturePlenary Lecture

Tree archeology: Root finding and broadcasting

�鶹��ýAV ITW 2020, Riva del Garda, Italy Plenary Lecture

ITW Plenary LecturePlenary Lecture

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

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

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