Daniel Simpson

According to our database1, Daniel Simpson authored at least 13 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2012
2014
2016
2018
2020
2022
2024
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4
5
3
2
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2
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2
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Bayesian cross-validation by parallel Markov chain Monte Carlo.
Stat. Comput., August, 2024

Pareto Smoothed Importance Sampling.
J. Mach. Learn. Res., 2024

Scalable Bayesian Learning with posteriors.
CoRR, 2024

Explainable Deep Learning Models for Dynamic and Online Malware Classification.
Proceedings of the IEEE International Conference on Smart Computing, 2024

2023
The Integrated Nested Laplace Approximation for Fitting Dirichlet Regression Models.
J. Comput. Graph. Stat., 2023

Thermodynamic Linear Algebra.
CoRR, 2023

2020
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Asynchronous Gibbs Sampling.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2018
Yes, but Did It Work?: Evaluating Variational Inference.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
The Prior Can Often Only Be Understood in the Context of the Likelihood.
Entropy, 2017

2013
On the Convergence of the Escalator Boxcar Train.
SIAM J. Numer. Anal., 2013

Bayesian computing with INLA: New features.
Comput. Stat. Data Anal., 2013

2012
The Complexity of Pebbling in Diameter Two Graphs.
SIAM J. Discret. Math., 2012


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