Neil D. Lawrence
29 papers · 2006–2022 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird
π
Academic Marathon
(16)
π§
Keyword Pioneer
π
Conference Polyglot
(6)
π
Keyword Trendsetter Combo
(6)
π¬
Deep Specialist
(14)
π
Keyword Champion
(5)
π
Century Club
(29)
π
Trend Setter
π
Conference Pioneer
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(76)
Conferences
AISTATS (9)
NIPS (9)
JMLR (6)
ICML (3)
CVPR (1)
ICLR (1)
Top co-authors
Keywords
gaussian process
(19)
variational inference
(9)
bayesian inference
(5)
gaussian processes
(5)
latent variable model
(5)
dimensionality reduction
(5)
graphical model
(3)
dynamical system
(3)
approximate inference
(3)
sparse approximation
(3)
marginal likelihood
(3)
convolution process
(3)
latent function
(3)
transfer learning
(2)
manifold learning
(2)
bayesian optimization
(2)
graphical lasso
(2)
gaussian process prior
(2)
differential privacy
(2)
probabilistic model
(2)
Papers
Two-way Sparse Network Inference for Count Data
AISTATS 2022
Generalised GPLVM with Stochastic Variational Inference
AISTATS 2022
Modeling the Machine Learning Multiverse
NIPS 2022
Differentially Private Regression and Classification with Sparse Gaussian Processes
JMLR 2021
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis
JMLR 2021
Transferring Knowledge across Learning Processes
ICLR 2019
Variational Information Distillation for Knowledge Transfer
CVPR 2019
Differentially Private Regression with Gaussian Processes
AISTATS 2018
Structured Variationally Auto-encoded Optimization
ICML 2018
Preferential Bayesian Optimization
ICML 2017
Chained Gaussian Processes
AISTATS 2016
Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes
JMLR 2016
Hybrid Discriminative-Generative Approach with Gaussian Processes
AISTATS 2014
Tilted Variational Bayes
AISTATS 2014
Deep Gaussian Processes
AISTATS 2013
The Bigraphical Lasso
ICML 2013
Fast Variational Inference in the Conjugate Exponential Family
NIPS 2012
A Unifying Probabilistic Perspective for Spectral Dimensionality Reduction: Insights and New Models
JMLR 2012
Computationally Efficient Convolved Multiple Output Gaussian Processes
JMLR 2011
Variational Gaussian Process Dynamical Systems
NIPS 2011
Efficient inference in matrix-variate Gaussian models with \iid observation noise
NIPS 2011
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels
AISTATS 2010
Switched Latent Force Models for Movement Segmentation
NIPS 2010
Bayesian Gaussian Process Latent Variable Model
AISTATS 2010
Efficient Sampling for Gaussian Process Inference using Control Variables
NIPS 2008
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
NIPS 2008
Sparse Convolved Gaussian Processes for Multi-output Regression
NIPS 2008
Modelling transcriptional regulation using Gaussian Processes
NIPS 2006
Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
JMLR 2006