Joel Dyer

Joel Dyer
Room
214,
Wolfson Building,
Parks Road, Oxford OX1 3QD
United Kingdom
Interests
- Agent-based modelling
- Bayesian inference
- Monte Carlo
- Simulation-based planning and optimisation
- Machine learning
Biography
Joel is a senior postdoctoral researcher at the Department of Computer Science and a Senior Research Fellow at the Oxford Institute for New Economic Thinking, where he develops methodology and tooling for agent-based simulation models. He recently completed a DPhil in computational statistics and machine learning at the University of Oxford’s Mathematical Institute and Institute for New Economic Thinking under the supervision of Prof. J. Doyne Farmer, where his research focus was on likelihood-free parameter inference methods for simulation models in the social sciences. Previously, Joel has worked as a Research Scientist at Improbable, and has held visiting research positions at The Alan Turing Institute and University of Bristol through The Alan Turing Institute’s Enrichment Scheme.
Selected Publications
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Approximate Bayesian Computation with Path Signatures
Joel Dyer‚ Patrick Cannon and Sebastian M. Schmon
Vol. 244 of Proceedings of Machine Learning Research. Pages 1207–1231. 2024.
Details about Approximate Bayesian Computation with Path Signatures | BibTeX data for Approximate Bayesian Computation with Path Signatures | Link to Approximate Bayesian Computation with Path Signatures
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Interventionally Consistent Surrogates for Complex Simulation Models
Joel Dyer‚ Nicholas George Bishop‚ Yorgos Felekis‚ Fabio Massimo Zennaro‚ Ani Calinescu‚ Theodoros Damoulas and Michael J Wooldridge
In The Thirty−eighth Annual Conference on Neural Information Processing Systems (NeurIPS). 2024.
Details about Interventionally Consistent Surrogates for Complex Simulation Models | BibTeX data for Interventionally Consistent Surrogates for Complex Simulation Models | Link to Interventionally Consistent Surrogates for Complex Simulation Models
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Population synthesis as scenario generation for simulation−based planning under uncertainty
Joel Dyer‚ Arnau Quera−Bofarull‚ Nicholas Bishop‚ J. Doyne Farmer‚ Anisoara Calinescu and Michael Wooldridge
In 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024). 2024.
Details about Population synthesis as scenario generation for simulation−based planning under uncertainty | BibTeX data for Population synthesis as scenario generation for simulation−based planning under uncertainty | Link to Population synthesis as scenario generation for simulation−based planning under uncertainty