Abstract We develop a hyperparameter optimisation algorithm, Automated Budget Constrained Training, which balances the quality of model with computational cost required to tune it. The relationship between hyperparameters, and must be learnt this learning is incorporated directly into problem. At each training epoch, algorithm decides whether terminate or continue training, and, in latter case,...
