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Statistical Physics Methods in Machine Learning

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Read 3 days ago and current, but nothing has been published for 9 years.

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Statistical Mechanics (Tutorial) by Chandan Dasgupta

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Ground States and Phase Ordering Studies by Varsha Banerjee

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Testing Sparsity over Known and Unknown Bases by Arnab Bhattacharyya

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In Vitro Philosophers: Chemical Reaction Networks that do Machine by Manoj Gopalkrishnan

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Fitting a Manifold to Noisy Data by Hariharan Narayanan

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Relative Error Tensor Low Rank Approximation by David Woodruff

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ML Basics and Kernel Methods (Tutorial) by Mikhail Belkin

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Statistical mechanics of deep learning by Surya Ganguli

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Random Matrices (Tutorial) by Spenta wadia

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Workshop context setting; Phase transitions in distributed by Partha Mitra

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