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Random matrix theory has played a major role in several areas of pure and applied mathematics, as well as statistics, physics, computer science, and Machine Learning. This lecture aims to describe the intrinsic freeness phenomenon and how it provides new easy-to-use sharp non-asymptotic bounds on the spectrum of general random matrices.
Alexander Effland, Illia Karabash, and Floris van Doorn, jointly with Anton Bovier