Daniel Simpson

According to our database, Daniel Simpson authored at least 8 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Thermodynamic Linear Algebra.

Maxwell Aifer, Kaelan Donatella, Max Hunter Gordon, Thomas Ahle, Daniel Simpson, Gavin E. Crooks, Patrick J. Coles

CoRR, 2023

2020

Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond.

Charles C. Margossian, Aki Vehtari, Daniel Simpson, Raj Agrawal

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Asynchronous Gibbs Sampling.

Alexander Terenin, Daniel Simpson, David Draper

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2018

Yes, but Did It Work?: Evaluating Variational Inference.

Yuling Yao, Aki Vehtari, Daniel Simpson, Andrew Gelman

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

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

Andrew Gelman, Daniel Simpson, Michael Betancourt

Entropy, 2017

2013

On the Convergence of the Escalator Boxcar Train.

Åke Brännström, Linus Carlsson, Daniel Simpson

SIAM J. Numer. Anal., 2013

Bayesian computing with INLA: New features.

Thiago G. Martins, Daniel Simpson, Finn Lindgren, Håvard Rue

Comput. Stat. Data Anal., 2013

2012

The Complexity of Pebbling in Diameter Two Graphs.

Charles A. Cusack, Timothy Lewis, Daniel Simpson, Samuel Taggart

SIAM J. Discret. Math., 2012