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Optimization Algorithms
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optimization algorithms
Discover seminars, jobs, and research tagged with optimization algorithms across Neuro.
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Understanding Machine Learning via Exactly Solvable Statistical Physics Models
Lenka Zdeborová
EPFL
Feb 8, 2023
The affinity between statistical physics and machine learning has a long history. I will describe the main lines of this long-lasting friendship in the context of current theoretical challenges and open questions about deep learning. Theoretical physics often proceeds in terms of solvable synthetic models, I will describe the related line of work on solvable models of simple feed-forward neural networks. I will highlight a path forward to capture the subtle interplay between the structure of the data, the architecture of the network, and the optimization algorithms commonly used for learning.
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