Variational Inference and Optimization - Lecture 3
Offered By: Probabilistic AI School via YouTube
Course Description
Overview
Explore the third installment of the Variational Inference and Optimization series presented by Helge Langseth and Thomas D. Nielsen at the Nordic Probabilistic AI School (ProbAI) 2024. Delve into advanced concepts and techniques in this 45-minute lecture, which builds upon the foundations laid in previous sessions. Access accompanying materials on GitHub to enhance your understanding of the topic. Gain insights into cutting-edge approaches in probabilistic AI and optimization methods. Benefit from the expertise of renowned speakers in the field as they share their knowledge and experiences. Expand your skillset in variational inference and its applications in artificial intelligence and machine learning.
Syllabus
Variational Inference and Optimization 3 by Helge Langseth and Thomas D. Nielsen
Taught by
Probabilistic AI School
Related Courses
Vibrations Of StructuresIndian Institute of Technology, Kharagpur via Swayam Finite Element Method: Variational Methods to Computer Programming
Indian Institute of Technology Guwahati via Swayam Approximation Methods
University of Colorado Boulder via Coursera Elastic Stability of Structures
Indian Institute of Technology, Kharagpur via Swayam Set Distribution Networks - A Generative Model for Sets of Images
Yannic Kilcher via YouTube