Statistical & Probabilistic ML¶
What this subject is for: Reasoning under uncertainty — Bayesian inference, variational methods, MCMC, Gaussian processes, EM, uncertainty quantification.
Track status: 9 substantive concept pages · 1 stub awaiting next cycle. 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
- Uncertainty Quantification
- Variational Inference
Auto-seeded stubs awaiting next cycle: probabilistic-programming
Arcs through this subject¶
No arcs yet — the retrospective proposes these once concept coverage hits ≥4 pages per track.
Key thinkers¶
Author pages pending.
Builds tied to this subject¶
MVB recipes pending — currently they live inside concept pages' Build it sections.
Auto-rebuilt from filesystem state by scripts/rebuild_track_indexes.py — see system architecture.