Statistical & Probabilistic ML

What this subject is for: Reasoning under uncertainty — Bayesian inference, variational methods, MCMC, Gaussian processes, EM, uncertainty quantification.

Track status: 10 substantive concept pages. See the live generation status and the latest retrospective.

Concepts

• Bayesian inference
• Bayesian neural networks
• Bayesian optimization
• Expectation-Maximization Algorithm
• Expectation-Maximization
• Gaussian processes
• Markov Chain Monte Carlo
• Probabilistic programming
• Uncertainty Quantification
• Variational Inference

Arcs through this subject

• Bayesian Deep Learning

Key thinkers

Author pages pending.

Builds tied to this subject

MVB recipes pending — currently they live inside concept pages' Build it sections.

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