Henry Moss
9 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (15) 🏃 Academic Marathon (7) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(15)
🧭
Keyword Pioneer
👥
Mega-Team
(28)
🔥
Unstoppable
(6)
Conferences
NIPS (3)
ICML (2)
ACL (1)
COLING (1)
ICLR (1)
UAI (1)
Top co-authors
Keywords
gaussian process
(4)
bayesian optimization
(2)
bayesian optimisation
(2)
model selection
(2)
cross validation
(1)
quantile regression
(1)
sparse approximation
(1)
variance reduction
(1)
thompson sampling
(1)
parameter tuning
(1)
multi-armed bandit
(1)
regret bound
(1)
entropy search
(1)
acquisition function
(1)
bandit algorithm
(1)
molecular representation
(1)
genetic algorithm
(1)
heteroscedastic noise
(1)
expectile regression
(1)
string kernel
(1)
Papers
Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces
ICML 2025
Integration-free Kernels for Equivariant Gaussian Process Modelling
ICML 2025
Linear combinations of latents in generative models: subspaces and beyond
ICLR 2025
GAUCHE: A Library for Gaussian Processes in Chemistry
NIPS 2023
Bayesian quantile and expectile optimisation
UAI 2022
Scalable Thompson Sampling using Sparse Gaussian Process Models
NIPS 2021
BOSS: Bayesian Optimization over String Spaces
NIPS 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