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Ben Calderhead
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Journal Articles
- 2015
- [j4]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) - 2014
- [j3]Andrei Kramer, Ben Calderhead, Nicole Radde:
Hamiltonian Monte Carlo methods for efficient parameter estimation in steady state dynamical systems. BMC Bioinform. 15: 253 (2014) - [j2]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) - 2009
- [j1]Ben Calderhead, Mark A. Girolami:
Estimating Bayes factors via thermodynamic integration and population MCMC. Comput. Stat. Data Anal. 53(12): 4028-4045 (2009)
Conference and Workshop Papers
- 2021
- [c5]Tobias Schwedes, Ben Calderhead:
Rao-Blackwellised parallel MCMC. AISTATS 2021: 3448-3456 - 2018
- [c4]Onur Teymur, Han Cheng Lie, Tim Sullivan, Ben Calderhead:
Implicit Probabilistic Integrators for ODEs. NeurIPS 2018: 7255-7264 - 2016
- [c3]Onur Teymur, Konstantinos Zygalakis, Ben Calderhead:
Probabilistic Linear Multistep Methods. NIPS 2016: 4314-4321 - 2012
- [c2]Ben Calderhead, Mátyás A. Sustik:
Sparse Approximate Manifolds for Differential Geometric MCMC. NIPS 2012: 2888-2896 - 2008
- [c1]Ben Calderhead, Mark A. Girolami, Neil D. Lawrence:
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes. NIPS 2008: 217-224
Parts in Books or Collections
- 2010
- [p1]Mark Girolami, Ben Calderhead, Vladislav Vyshemirsky:
System Identification and Model Ranking: The Bayesian Perspective. Learning and Inference in Computational Systems Biology 2010: 201-230
Informal and Other Publications
- 2019
- [i2]Théophile Griveau-Billion, Ben Calderhead:
Efficient structure learning with automatic sparsity selection for causal graph processes. CoRR abs/1906.04479 (2019) - 2016
- [i1]Onur Teymur, Konstantinos Zygalakis, Ben Calderhead:
Probabilistic Linear Multistep Methods. CoRR abs/1610.08417 (2016)
Coauthor Index
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