Hugh Salimbeni
6 papers · 2017–2020 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(10)
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Hot Topic Early Bird
Venues
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Research topics
Keywords
variational inference
(5)
gaussian process
(3)
bayesian inference
(2)
natural gradient
(2)
deep gaussian process
(2)
posterior approximation
(1)
stochastic differential equation
(1)
conditional density estimation
(1)
heteroskedastic noise
(1)
sparse variational inference
(1)
sparse gaussian process
(1)
stochastic inference
(1)
approximate posterior
(1)
orthogonal basis
(1)
dynamical modeling
(1)
wishart process
(1)
few-shot learning
(1)
decoupled parametrization
(1)
hyperparameter learning
(1)
automatic differentiation
(1)
Papers
Stochastic Differential Equations with Variational Wishart Diffusions
ICML 2020
Deep Gaussian Processes with Importance-Weighted Variational Inference
ICML 2019
Gaussian Process Conditional Density Estimation
NeurIPS 2018
Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models
AISTATS 2018
Orthogonally Decoupled Variational Gaussian Processes
NeurIPS 2018
Doubly Stochastic Variational Inference for Deep Gaussian Processes
NeurIPS 2017