Speaker: Jakob Richter

mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions

mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions

Many practical optimization tasks, such as finding best parameters for simulators in engineering or hyperparameter optimization in machine learning, are of a black-box nature, i.e., neither formulas of the objective nor derivative information is available. Instead, we can only query the box for its objective value at a given point. If such a query is […]

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