Oliver R. A. Dunbar

According to our database, Oliver R. A. Dunbar authored at least 9 papers between 2020 and 2025.

Collaborative distances:

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

2025

Hyperparameter optimization for randomized algorithms: a case study on random features.

Oliver R. A. Dunbar, Nicholas H. Nelsen, Maya Mutic

Stat. Comput., June, 2025

Nesterov acceleration for ensemble Kalman inversion and variants.

Sydney Vernon, Eviatar Bach, Oliver R. A. Dunbar

J. Comput. Phys., 2025

2024

CalibrateEmulateSample.jl: Accelerated Parametric Uncertainty Quantification.

Oliver R. A. Dunbar, Melanie Bieli, Alfredo Garbuno-Iñigo, Michael Howland, Andre Nogueira de Souza, Laura Anne Mansfield, Gregory LeClaire Wagner, N. Efrat-Henrici

J. Open Source Softw., 2024

Toward Routing River Water in Land Surface Models with Recurrent Neural Networks.

Mauricio Lima, Katherine Deck, Oliver R. A. Dunbar, Tapio Schneider

CoRR, 2024

2022

EnsembleKalmanProcesses.jl: Derivative-free ensemble-based model calibration.

Oliver R. A. Dunbar, Ignacio Lopez-Gomez, Alfredo Garbuno-Iñigo, Daniel Zhengyu Huang, Eviatar Bach, Jinlong Wu

J. Open Source Softw., December, 2022

Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods.

Oliver R. A. Dunbar, Andrew B. Duncan, Andrew M. Stuart, Marie-Therese Wolfram

SIAM J. Appl. Dyn. Syst., 2022

Epidemic management and control through risk-dependent individual contact interventions.

Tapio Schneider, Oliver R. A. Dunbar, Jinlong Wu, Lucas Böttcher, Dmitry Burov, Alfredo Garbuno-Inigo, Gregory LeClaire Wagner, Sen Pei, Chiara Daraio, Raffaele Ferrari, Jeffrey Shaman

PLoS Comput. Biol., 2022

Models for information propagation on graphs.

Oliver R. A. Dunbar, Charles M. Elliott, Lisa Maria Kreusser

CoRR, 2022

2020

Reconciling Bayesian and Perimeter Regularization for Binary Inversion.

Oliver R. A. Dunbar, Matthew M. Dunlop, Charles M. Elliott, Viet Ha Hoang, Andrew M. Stuart

SIAM J. Sci. Comput., 2020