1 code implementation • ICML 2018 • Mark McLeod, Michael A. Osborne, Stephen J. Roberts
We develop the first Bayesian Optimization algorithm, BLOSSOM, which selects between multiple alternative acquisition functions and traditional local optimization at each step.
1 code implementation • ICML 2018 • Binxin Ru, Mark McLeod, Diego Granziol, Michael A. Osborne
Information-theoretic Bayesian optimisation techniques have demonstrated state-of-the-art performance in tackling important global optimisation problems.
1 code implementation • 13 Mar 2017 • Mark McLeod, Michael A. Osborne, Stephen J. Roberts
We propose a novel Bayesian Optimization approach for black-box functions with an environmental variable whose value determines the tradeoff between evaluation cost and the fidelity of the evaluations.