Henry Moss
9 papers · 2018–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (19) 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze
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Mega-Team · Squad
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Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(7)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Deep Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Models
(2)
Application Areas
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types
(1)
Keywords
gaussian process
(4)
bayesian optimisation
(3)
latent space
(2)
bayesian optimization
(2)
model selection
(2)
generative model
(1)
cross validation
(1)
uncertainty quantification
(1)
variance reduction
(1)
computational efficiency
(1)
thompson sampling
(1)
parameter tuning
(1)
sparse approximation
(1)
multi-armed bandit
(1)
diffusion model
(1)
regret bound
(1)
entropy search
(1)
acquisition function
(1)
group action
(1)
quantile regression
(1)
Papers
Integration-free Kernels for Equivariant Gaussian Process Modelling
ICML 2025
Linear combinations of latents in generative models: subspaces and beyond
ICLR 2025
Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces
ICML 2025
GAUCHE: A Library for Gaussian Processes in Chemistry
NeurIPS 2023
Bayesian quantile and expectile optimisation
UAI 2022
Scalable Thompson Sampling using Sparse Gaussian Process Models
NeurIPS 2021
BOSS: Bayesian Optimization over String Spaces
NeurIPS 2020
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
ACL 2019
Using J-K-fold Cross Validation To Reduce Variance When Tuning NLP Models
COLING 2018