Catalog Description: Recent topics include: Graphical models and approximate inference algorithms. Markov chain Monte Carlo, mean field and probability propagation methods. Model selection and stochastic realization. Bayesian information theoretic and structural risk minimization approaches. Markov decision processes and partially observable Markov decision processes. Reinforcement learning.

Units: 3

Also Offered As: STAT C241B, COMPSCI C281B

Grading Basis: Default Letter Grade; P/NP Option

Final Exam Status: No

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Class Schedule (Spring 2026):
CS C281B – We 14:00-16:59, Evans 344 – Jason Lee

Links:

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• HKN course maps