Lecture

Generalized Linear Model: Optimization and Approximation

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This lecture covers the unified formulation of the generalized linear model, teacher-student perceptron, Bayes-optimal generalization, performance, and approximate message passing. It discusses the optimization of loss functions, free entropy, belief propagation, and the AMP algorithm.

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Ontological neighbourhood

Physics

Thermodynamics: Statistical mechanics

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