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Contraction of Markov Kernels and Differential Privacy - Part I

Simons Institute via YouTube

Overview

Explore a comprehensive lecture on the contraction of Markov kernels and its connection to differential privacy. Delve into advanced concepts presented by Shahab Asoodeh from McMaster University as part of the Information-Theoretic Methods for Trustworthy Machine Learning series. Gain insights into the mathematical foundations and practical applications of these topics in the field of machine learning and data privacy.

Syllabus

Contraction of Markov kernels and differential privacy (PART I)

Taught by

Simons Institute

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