Gibbs Sampling: Simulated Annealing

In course

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Description

This lecture covers the concept of Gibbs sampling and its application in simulated annealing, focusing on detailed balance, MMSE estimation, marginal overlap, and Metropolis-Hastings algorithm. The instructor explains the process of obtaining new configurations by picking random indexes and updating them, emphasizing the importance of achieving equilibrium in the sampling process.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_x4v5jz7x

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Ontological neighbourhood

Statistics

Statistical inference: Bayesian statistics, Mathematical statistics

Data collection: Statistical sampling

Physics

Thermodynamics: Statistical mechanics

Information engineering

Machine learning: Unsupervised learning

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