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Ahsan Alvi

2 accepted papers

2020

Bayesian Optimisation over Multiple Continuous and Categorical Inputs

ICML 2020poster

Efficient optimisation of black-box problems that comprise both continuous and categorical inputs is important, yet poses significant challenges. Current approaches, like one-hot encoding, severely increase the dimension of the search space, while separate modelling of category-specific data is samp…

2019

Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation

ICML 2019oral

Batch Bayesian optimisation (BO) has been successfully applied to hyperparameter tuning using parallel computing, but it is wasteful of resources: workers that complete jobs ahead of others are left idle. We address this problem by developing an approach, Penalising Locally for Asynchronous Bayesian…