2019
Hyperparameter Learning via Distributional Transfer
NeurIPS 2019poster
Bayesian optimisation is a popular technique for hyperparameter learning but typically requires initial exploration even in cases where similar prior tasks have been solved. We propose to transfer information across tasks using learnt representations of training datasets used in those tasks. This re…