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Matteo Vilucchio's Projects

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Project for Numerical Methods Course @ ENS 2020

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The optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization

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Lecture Notes on General Relativity, based on lectures by Dr. Frederic P. Schuller in 2015

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Codes for the course Statistical Physics for Optimization and Learning

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