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Boolean Fourier Analysis to Quantum Complexity →0/6
1

The Fourier Expansion and Basic Formulas

Ryan O'Donnell · 1:11:25

2

Probability Densities and BLR Linearity Testing

Ryan O'Donnell · 1:12:46

3

Social Choice and Influences

Ryan O'Donnell · 1:17:33

4

10^500 Parallel Universes

Ryan O'Donnell · 1:08:48

5

Rotate, Compute, Rotate

Ryan O'Donnell · 1:20:24

6

Understanding and Measuring One Qubit

Ryan O'Donnell · 1:21:29

Social Choice and Influences

Ryan O'DonnellCarnegie Mellon University

Professor

1:17:33·2017·research level
Path step 3: Links coordinate influences and noise stability to Arrow's impossibility theorem in social choice.

This lecture connects Boolean function analysis to social choice theory, exploring the concept of influences and their implications for collective decision-making processes.

Theory & AlgosMathematicsEconomicsGame Theory & Mechanism DesignCalculus & AnalysisSocial Choice TheoryBoolean Functions

Analysis of Boolean Functions Lecture 3: Social choice and influences

Source: Ryan O'Donnell via YouTubeWatch on YouTube
LecturerAll lecturers →
Ryan O'Donnell

Professor of Computer Science

Ryan O'Donnell is a Professor of Computer Science at Carnegie Mellon University, known for his research and teaching in computational complexity theory and quantum computing.

6 courses · 103 lecturesCanon
Previous · Step 2

Probability Densities and BLR Linearity Testing

Next · Step 4

10^500 Parallel Universes

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