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Algorithmic Decision Making

Instructor: Prof. Subhash Suri (suri@cs.ucsb.edu).
Class: TR 11:00 -- 12:15 (CRST 143)
Office Hrs: TBD. Harold Frank Hall 2111.

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  • Topics

    1. Optimal Stopping Rules: when to stop looking
    2. Probability and Paradoxes: how to calculate odds
    3. Multi-armed Bandits: how to explore
    4. Caching: what to forget
    5. Scheduling: what to do first
    6. Bayes's Rule: how to predict
    7. Game Theory: how to strategize
    8. Cake Cutting: how to be fair
    9. Voting: how to reconcile individual differences
    10. Machine Learning: how to generalize from example

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