ConBO: Conditional Bayesian Optimization

23 Feb 2020Michael PearceJanis KlaiseMatthew Groves

Bayesian optimization is a class of data efficient model based algorithms typically focused on global optimization. We consider the more general case where a user is faced with multiple problems that each need to be optimized conditional on a state variable, for example we optimize the location of ambulances conditioned on patient distribution given a range of cities with different patient distributions... (read more)

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