Contraction of Markov Kernels and Differential Privacy - Part II

Explore the second part of a lecture on the contraction of Markov kernels and differential privacy, presented by Mario Diaz from the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS). Delve into advanced concepts within the field of information-theoretic methods for trustworthy machine learning. This 34-minute talk, hosted by the Simons Institute, offers a deep dive into the mathematical foundations and applications of these crucial topics in modern data science and privacy-preserving algorithms.

Contraction of Markov Kernels and Differential Privacy (PART II)