CPCP Retreat 2016: Multi-Armed Bandit Algorithms and Applications to Experiment Selection
Dr. Kwang-Sung Jun works in the Value to Information Lab at the CPCP. In this talk, he describes a new computational method that can be used by researchers to suggest which experiments would be best to perform next. Biology labs often have large numbers of experiments that they could perform, knowing which to perform first saves researchers time and money. This method, an adaptation of an algorithm originally designed to predict gambling wins, helps researchers with this experiment selection task. In addition to this task, Dr. Jun also describes the application of this new algorithm to the New Yorker cartoon caption selection task as part of their crowd sourcing algorithm.