List of lectures



Boaz Barak (Harvard): Computational hardness perspectives
Giulio Biroli (ENS, Paris): High-dimensional dynamics
Michael Jordan (UC Berkeley): Optimization, diffusion & economics
Marc M├ęzard (ENS, Paris): Message passing algorithms
Yann LeCun (Facebook AI, NYU). Challenges and directions in machine learning
Remi Monasson (ENS, Paris): Statistical physics or learning in neural networks
Andrea Montanari (Stanford): High-dimensional statistics & neural networks
Maria Schuld (Univ. KwaZulu Natal & Xanadu): Quantum machine learning
Haim Sompolinsky (Harvard & Hebrew Univ.): Statistical mechanics of deep neural networks
Nathan Srebro (TTI-Chicago): Optimization and implicit regularisation
Miles Stoudenmire (Flatiron, NYC): Tensor network methods
Pierre Vandergheynst (EPFL, Lausanne): Graph signal processing & neural networks



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