Neil Lawrence
8 papers · 2005–2020 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🌍 Conference Polyglot · Silver
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Keyword Champion
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Keyword Pioneer
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Research topics
Keywords
gaussian process
(3)
bayesian optimization
(2)
variational inference
(2)
latent variable model
(2)
principal component analysis
(1)
transductive learning
(1)
hyperparameter optimization
(1)
supervised learning
(1)
spectral dimensionality reduction
(1)
global optimization
(1)
kernel pca
(1)
locally linear embedding
(1)
multi-output regression
(1)
batch optimization
(1)
acquisition function
(1)
empirical baye
(1)
surrogate model
(1)
lipschitz constant
(1)
gaussian random field
(1)
nonlinear dimensionality reduction
(1)
Papers
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
ICLR 2020
Meta-Surrogate Benchmarking for Hyperparameter Optimization
NeurIPS 2019
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes
NeurIPS 2017
Batch Bayesian Optimization via Local Penalization
AISTATS 2016
GLASSES: Relieving The Myopia Of Bayesian Optimisation
AISTATS 2016
Gaussian Processes for Natural Language Processing
ACL 2014
Spectral Dimensionality Reduction via Maximum Entropy
AISTATS 2011
Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models
JMLR 2005