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10/04/2022
A Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators
Ensuring vertical separation is a key means of maintaining safe separati...
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03/31/2022
MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation
Optimisation problems often have multiple conflicting objectives that ca...
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05/03/2021
How Bayesian Should Bayesian Optimisation Be?
Bayesian optimisation (BO) uses probabilistic surrogate models - usually...
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10/15/2020
Asynchronous ε-Greedy Bayesian Optimisation
Bayesian Optimisation (BO) is a popular surrogate model-based approach f...
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04/17/2020
What do you Mean? The Role of the Mean Function in Bayesian Optimisation
Bayesian optimisation is a popular approach for optimising expensive bla...
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02/05/2020
ε-shotgun: ε-greedy Batch Bayesian Optimisation
Bayesian optimisation is a popular, surrogate model-based approach for o...
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11/28/2019
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation
The performance of acquisition functions for Bayesian optimisation is in...
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05/22/2018
Part-Based Tracking by Sampling
We propose a novel part-based method for tracking an arbitrary object in...
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05/03/2018