Ben Calderhead
5 papers · 2008–2021 · 2 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird
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Topic Pioneer
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Keyword Pioneer
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Keyword Champion
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Trend Setter
Venues
Top co-authors
Research topics
Keywords
bayesian inference
(4)
markov chain monte carlo
(2)
gaussian process
(2)
stochastic process
(2)
ordinary differential equation
(2)
fisher information
(1)
parallel computing
(1)
uncertainty quantification
(1)
sparse regularization
(1)
riemannian manifold
(1)
mcmc sampling
(1)
sparse approximation
(1)
sampling efficiency
(1)
riemannian geometry
(1)
metric tensor approximation
(1)
numerical integration
(1)
manifold sampling
(1)
differential geometry
(1)
parameter inference
(1)
l1 regularization
(1)
Papers
Rao-Blackwellised parallel MCMC
AISTATS 2021
Implicit Probabilistic Integrators for ODEs
NeurIPS 2018
Probabilistic Linear Multistep Methods
NeurIPS 2016
Sparse Approximate Manifolds for Differential Geometric MCMC
NeurIPS 2012
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
NeurIPS 2008