Neil Lawrence
8 papers · 2005–2020 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (15)
π
Cross-Pollinator
(12)
πΊοΈ
Taxonomy Completionist
(13)
π
Trend Setter
Conferences
AISTATS (3)
NIPS (2)
ACL (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
gaussian process
(3)
latent variable model
(2)
bayesian optimization
(2)
maximum entropy
(1)
variational inference
(1)
principal component analysis
(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)
surrogate model
(1)
lipschitz constant
(1)
gaussian random field
(1)
nonlinear dimensionality reduction
(1)
expected loss
(1)
Papers
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
ICLR 2020
Meta-Surrogate Benchmarking for Hyperparameter Optimization
NIPS 2019
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes
NIPS 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