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07/05/2022
PRoA: A Probabilistic Robustness Assessment against Functional Perturbations
In safety-critical deep learning applications robustness measurement is ...
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03/01/2022
Variational Autoencoders Without the Variation
Variational autoencdoers (VAE) are a popular approach to generative mode...
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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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04/25/2019