Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations Requirements The code is implemented in Python and requires the following packages: sobol_seq platypus sklearn.gaussian_process Citation If you use this code in your academic work please cite our JAIR paper: “A General Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization ” and our workshop paper “Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations” , Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa. GitHub – belakaria/iMOCA at pythonawesome.com Contribute to belakaria/iMOCA development by creating an […]