Daniel Simpson
5 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
π Academic Marathon (7) π§ Keyword Pioneer π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (13) π Cross-Pollinator (11)
π
Interdisciplinary Bridge
β
The Questioner
Conferences
AISTATS (1)
ICLR (1)
ICML (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
markov chain monte carlo
(2)
importance sampling
(2)
variational inference
(2)
topic modeling
(1)
posterior distribution
(1)
laplace approximation
(1)
gibbs sampling
(1)
hierarchical model
(1)
effective sample size
(1)
monte carlo integration
(1)
hamiltonian monte carlo
(1)
gradient-based sampling
(1)
monte carlo method
(1)
latent gaussian model
(1)
asynchronous algorithm
(1)
importance weight
(1)
pareto distribution
(1)
convergence diagnostic
(1)
goodness of fit
(1)
weight stabilization
(1)
Papers
Scalable Bayesian Learning with posteriors
ICLR 2025
Pareto Smoothed Importance Sampling
JMLR 2024
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond
NIPS 2020
Asynchronous Gibbs Sampling
AISTATS 2020
Yes, but Did It Work?: Evaluating Variational Inference
ICML 2018