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Setareh Ariafar

2 accepted papers

2022

Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach

AISTATS 2022poster

Black box optimization requires specifying a search space to explore for solutions, e.g. a d-dimensional compact space, and this choice is critical for getting the best results at a reasonable budget. Unfortunately, determining a high quality search space can be challenging in many applications. For…

Cited by 2SourcePDFScholar
2021

Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling

AISTATS 2021poster

Many contemporary machine learning models require extensive tuning of hyperparameters to perform well. A variety of methods, such as Bayesian optimization, have been developed to automate and expedite this process. However, tuning remains extremely costly as it typically requires repeatedly fully tr…