Lecture

Machine Learning Theory: High-Dimensional Perspectives

Description

This lecture by the instructor delves into the challenges faced by theoreticians in understanding modern artificial intelligence methods. By exploring the intersection of high-dimensional probability, statistical physics, and information theory, the lecture sheds light on new perspectives. The discussion focuses on simple mathematically solvable models to deepen the understanding of data, performance, and algorithms.

Official source

https://mediaspace.epfl.ch/media/0_yloqhvtn

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

Statistics

Data analysis: Cross-validation

Statistical inference: Mathematical statistics

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