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Lunch Talk: Approximating the Gittins Index for Bayesian Bandits
Professor Michael Kim, PhD - University of Toronto, MIE
It is known that the optimal policy for Markovian multi-armed bandit problems is the Gittins index policy. For bandit problems with Bayesian learning (Bayesian bandits) however, computing the Gittins index is intractable. In this paper...
Distinguished Talk: Screening Strategies for Patients on the Kidney Transplant Waiting List Professor Steven Shechter, PhD - Sauder School of Business, UBC
Patients on the kidney transplant waiting list are at higher risk for developing cardiovascular disease (CVD), which makes them ineligible for transplant. Because CVD is often a silent disease...