Daniel Simpson
5 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(12)
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The Questioner
Top co-authors
Research topics
Keywords
markov chain monte carlo
(3)
variational inference
(2)
bayesian learning
(2)
importance sampling
(2)
laplace approximation
(1)
gibbs sampling
(1)
hierarchical model
(1)
effective sample size
(1)
monte carlo integration
(1)
posterior approximation
(1)
hamiltonian monte carlo
(1)
gradient-based sampling
(1)
monte carlo method
(1)
latent gaussian model
(1)
asynchronous algorithm
(1)
importance weight
(1)
deep ensemble
(1)
pareto distribution
(1)
convergence diagnostic
(1)
goodness of fit
(1)
Papers
Scalable Bayesian Learning with posteriors
ICLR 2025
Pareto Smoothed Importance Sampling
JMLR 2024
Asynchronous Gibbs Sampling
AISTATS 2020
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond
NeurIPS 2020
Yes, but Did It Work?: Evaluating Variational Inference
ICML 2018