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Approximate Message Passing for Statistical Inference and Estimation by Cynthia Rush

Offered By: International Centre for Theoretical Sciences via YouTube

Tags

Statistical Inference Courses Machine Learning Courses Deep Learning Courses Estimation Courses Statistical Physics Courses Quantum Annealing Courses

Course Description

Overview

Explore the principles of Approximate Message Passing (AMP) for statistical inference and estimation in this lecture by Cynthia Rush. Delve into advanced concepts at the intersection of statistical physics and machine learning as part of the "Statistical Physics of Machine Learning" discussion meeting. Gain insights into how AMP techniques can be applied to solve complex problems in data analysis and computational modeling. Discover the potential applications of these methods across various scientific domains and their relevance to improving deep learning algorithms.

Syllabus

Approximate Message Passing for Statistical Inference and Estimation by Cynthia Rush


Taught by

International Centre for Theoretical Sciences

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