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Tree-structured Parzen Estimator

model1 events
papersSEP 10 04:00 UTC

TPE-based hyperparameter optimization and transferability study for ES-HyperNEAT

A new arXiv paper applies a Tree-structured Parzen Estimator method to tune the hyperparameters of ES-HyperNEAT, a neuroevolution technique for growing neural networks. The work analyzes both how effectively this optimization improves results and whether the best settings transfer across problems. The authors note that NEAT-family methods remain highly sensitive to hyperparameter choices.

neuroevolution/hyperparameter-optimization/research