YoVDO

Variational Inference and Optimization - Lecture 3

Offered By: Probabilistic AI School via YouTube

Tags

Machine Learning Courses Statistical Modeling Courses Probabilistic Graphical Models Courses Bayesian Inference Courses Stochastic Optimization Courses Computational Statistics Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore advanced concepts in variational inference and optimization in this 37-minute lecture from the Nordic Probabilistic AI School (ProbAI) 2023. Delve into the third part of the series presented by Helge Langseth, Andrés R. Masegosa, and Thomas D. Nielsen. Gain insights into cutting-edge techniques and applications in probabilistic AI. Access supplementary materials on GitHub to enhance your understanding. Experience professional audio-visual quality with expert sound editing and effects.

Syllabus

Variational Inference and Optimization 3 by Helge Langseth, Andrés R. Masegosa and Thomas D. Nielsen


Taught by

Probabilistic AI School

Related Courses

Introduction to Bayesian Statistics
Databricks via Coursera Automated Scalable Bayesian Inference via Data Summarization - 2018
Center for Language & Speech Processing(CLSP), JHU via YouTube Cookbook Lower Bounds for Statistical Inference in Distributed and Constrained Settings - Part 3
IEEE via YouTube Deep Dictionary Learning Approaches for Image Super-Resolution - Pier Luigi Dragotti, Imperial
Alan Turing Institute via YouTube Exploiting Sparsity and Structure in Parametric and Nonparametric Estimation - 2007
Center for Language & Speech Processing(CLSP), JHU via YouTube