On the Robustness to Misspecification of α-Posteriors and Their Variational Approximations
Offered By: Simons Institute via YouTube
Course Description
Overview
Explore a 37-minute lecture by Cynthia Rush from Columbia University on the robustness of α-posteriors and their variational approximations when faced with misspecification. Delve into information-theoretic methods for trustworthy machine learning as part of the Simons Institute series. Gain insights into the challenges and solutions surrounding model misspecification in Bayesian inference and variational approximations, enhancing your understanding of robust machine learning techniques.
Syllabus
On the Robustness to Misspecification of α-Posteriors and Their Variational Approximations
Taught by
Simons Institute
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent