SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization

Leonard Papenmeier, Petru Tighineanu

Multi-objective optimization aims to solve problems with competing objectives. Evaluating such problems is often slow or expensive, limiting the budget of evaluations. In many appl…