b'Henry B. Moss'

research

∙ 02/22/2023

MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning

In Bayesian optimisation, we often seek to minimise the black-box object...

0 Adam X. Yang, et al. ∙

research

∙ 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...

0 Victor Picheny, et al. ∙

research

∙ 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...

0 Henry B. Moss, et al. ∙

research

∙ 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...

0 Andrei Paleyes, et al. ∙

research

∙ 06/06/2022

Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation

Sparse Gaussian Processes are a key component of high-throughput Bayesia...

0 Henry B. Moss, et al. ∙

research

∙ 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) –...

0 Jixiang Qing, et al. ∙

research

∙ 02/05/2021

GIBBON: General-purpose Information-Based Bayesian OptimisatioN

This paper describes a general-purpose extension of max-value entropy se...

9 Henry B. Moss, et al. ∙

research

∙ 10/02/2020

Gaussian Process Molecule Property Prediction with FlowMO

We present FlowMO: an open-source Python library for molecular property ...

15 Henry B. Moss, et al. ∙

research

∙ 10/02/2020

BOSS: Bayesian Optimization over String Spaces

This article develops a Bayesian optimization (BO) method which acts dir...

51 Henry B. Moss, et al. ∙

research

∙ 07/02/2020

BOSH: Bayesian Optimization by Sampling Hierarchically

Deployments of Bayesian Optimization (BO) for functions with stochastic ...

5 Henry B. Moss, et al. ∙

research

∙ 06/22/2020

MUMBO: MUlti-task Max-value Bayesian Optimization

We propose MUMBO, the first high-performing yet computationally efficien...

0 Henry B. Moss, et al. ∙

research

∙ 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...

0 Henry B. Moss, et al. ∙

research

∙ 06/19/2018

Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models

K-fold cross validation (CV) is a popular method for estimating the true...

2 Henry B. Moss, et al. ∙

Henry B. Moss

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