Contraction of Markov Kernels and Differential Privacy - Part I

Contraction of Markov Kernels and Differential Privacy - Part I

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.