Theoretical Deep Learning #2: PAC-bayesian bounds. Part5

In this lecture we introduce a compression approach to obtain bounds for test-train risk difference. We prove a PAC-bayesian bound of [Neyshabur et al., 2018] once again using these approach. Find all relevant info on github page: Our open-source framework to develop and deploy conversational assistants: