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02/22/2023
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning
In Bayesian optimisation, we often seek to minimise the black-box object...
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02/16/2023
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
We present Trieste, an open-source Python package for Bayesian optimizat...
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01/24/2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation
Sparse Gaussian Processes are a key component of high-throughput Bayesia...
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06/27/2022
A penalisation method for batch multi-objective Bayesian optimisation with application in heat exchanger design
We present HIghly Parallelisable Pareto Optimisation (HIPPO) – a batch a...
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06/06/2022
Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation
Sparse Gaussian Processes are a key component of high-throughput Bayesia...
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04/11/2022
{PF}^2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints
We present Parallel Feasible Pareto Frontier Entropy Search ({PF}^2ES) –...
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02/05/2021
GIBBON: General-purpose Information-Based Bayesian OptimisatioN
This paper describes a general-purpose extension of max-value entropy se...
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10/02/2020
Gaussian Process Molecule Property Prediction with FlowMO
We present FlowMO: an open-source Python library for molecular property ...
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10/02/2020
BOSS: Bayesian Optimization over String Spaces
This article develops a Bayesian optimization (BO) method which acts dir...
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07/02/2020
BOSH: Bayesian Optimization by Sampling Hierarchically
Deployments of Bayesian Optimization (BO) for functions with stochastic ...
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06/22/2020
MUMBO: MUlti-task Max-value Bayesian Optimization
We propose MUMBO, the first high-performing yet computationally efficien...
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06/28/2019
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
We present FIESTA, a model selection approach that significantly reduces...
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06/19/2018
