Ben Calderhead

According to our database, Ben Calderhead authored at least 11 papers between 2008 and 2021.

Collaborative distances:

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

2021

Rao-Blackwellised parallel MCMC.

Tobias Schwedes, Ben Calderhead

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

Efficient structure learning with automatic sparsity selection for causal graph processes.

Théophile Griveau-Billion, Ben Calderhead

CoRR, 2019

2018

Implicit Probabilistic Integrators for ODEs.

Onur Teymur, Han Cheng Lie, Tim Sullivan, Ben Calderhead

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Probabilistic Linear Multistep Methods.

Onur Teymur, Konstantinos Zygalakis, Ben Calderhead

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Ten Simple Rules for a Successful Cross-Disciplinary Collaboration.

Bernhard Knapp, Rémi Bardenet, Miguel O. Bernabeu, Rafel Bordas, Maria Bruna, Ben Calderhead, Jonathan Cooper, Alexander G. Fletcher, Derek Groen, Bram Kuijper, Joanna Lewis, Greg J. McInerny, Timo Minssen, James M. Osborne, Verena Paulitschke, Joe Pitt-Francis, Jelena Todoric, Christian A. Yates, David Gavaghan, Charlotte M. Deane

PLoS Comput. Biol., 2015

2014

Ten Simple Rules for Effective Computational Research.

James M. Osborne, Miguel O. Bernabeu, Maria Bruna, Ben Calderhead, Jonathan Cooper, Neil Dalchau, Sara-Jane Dunn, Alexander G. Fletcher, Robin Freeman, Derek Groen, Bernhard Knapp, Greg J. McInerny, Gary R. Mirams, Joe Pitt-Francis, Biswa Sengupta, David W. Wright, Christian A. Yates, David Gavaghan, Stephen Emmott, Charlotte M. Deane

PLoS Comput. Biol., 2014

Hamiltonian Monte Carlo methods for efficient parameter estimation in steady state dynamical systems.

Andrei Kramer, Ben Calderhead, Nicole Radde

BMC Bioinform., 2014

2012

Sparse Approximate Manifolds for Differential Geometric MCMC.

Ben Calderhead, Mátyás A. Sustik

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2010

System Identification and Model Ranking: The Bayesian Perspective.

Mark Girolami, Ben Calderhead, Vladislav Vyshemirsky

Proceedings of the Learning and Inference in Computational Systems Biology., 2010

2009

Estimating Bayes factors via thermodynamic integration and population MCMC.

Ben Calderhead, Mark A. Girolami

Comput. Stat. Data Anal., 2009

2008

Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes.

Ben Calderhead, Mark A. Girolami, Neil D. Lawrence

Proceedings of the Advances in Neural Information Processing Systems 21, 2008