Ben Calderhead

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 5

Top Topics

Dynamical Systems

Structure Learning

Monte Carlo Methods

Differential Geometric

Top Venues

PLoS Comput. Biol.

Publications

Tobias Schwedes, Ben Calderhead
Rao-Blackwellised parallel MCMC. AISTATS (2021)
Théophile Griveau-Billion, Ben Calderhead
Efficient structure learning with automatic sparsity selection for causal graph processes. CoRR (2019)
Onur Teymur, Han Cheng Lie, Tim Sullivan, Ben Calderhead
Implicit Probabilistic Integrators for ODEs. NeurIPS (2018)
Onur Teymur, Konstantinos Zygalakis, Ben Calderhead
Probabilistic Linear Multistep Methods. CoRR (2016)
Onur Teymur, Konstantinos Zygalakis, Ben Calderhead
Probabilistic Linear Multistep Methods. NIPS (2016)
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
Ten Simple Rules for a Successful Cross-Disciplinary Collaboration. PLoS Comput. Biol. 11 (4) (2015)
Andrei Kramer, Ben Calderhead, Nicole Radde
Hamiltonian Monte Carlo methods for efficient parameter estimation in steady state dynamical systems. BMC Bioinform. 15 (2014)
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
Ten Simple Rules for Effective Computational Research. PLoS Comput. Biol. 10 (3) (2014)
Ben Calderhead, Mátyás A. Sustik
Sparse Approximate Manifolds for Differential Geometric MCMC. NIPS (2012)
Ben Calderhead, Mark A. Girolami
Estimating Bayes factors via thermodynamic integration and population MCMC. Comput. Stat. Data Anal. 53 (12) (2009)
Ben Calderhead, Mark A. Girolami, Neil D. Lawrence
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes. NIPS (2008)