Approximate Message Passing for Statistical Inference and Estimation by Cynthia Rush
Offered By: International Centre for Theoretical Sciences via YouTube
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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