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Variational Inference and Optimization - Lecture 1

Offered By: Probabilistic AI School via YouTube

Tags

Machine Learning Courses Statistical Modeling Courses Bayesian Inference Courses Latent Variable Models Courses Kullback-Leibler Divergence Courses

Course Description

Overview

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Dive into a comprehensive lecture on Variational Inference and Optimization presented by Helge Langseth and Thomas D. Nielsen at the Nordic Probabilistic AI School (ProbAI) 2024. Explore key concepts and techniques in this nearly two-hour session, which forms part of a broader series on probabilistic artificial intelligence. Access supplementary materials and code examples through the provided GitHub repository to enhance your understanding of the topic. The lecture, professionally edited by David Baumgartner, includes engaging sound effects to maintain audience engagement throughout the presentation.

Syllabus

Variational Inference and Optimization 1 by Helge Langseth and Thomas D. Nielsen


Taught by

Probabilistic AI School

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