Joel Dyer : Publications
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[1]
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
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[2]
Black−box Bayesian inference for agent−based models
Joel Dyer‚ Patrick Cannon‚ J. Doyne Farmer and Sebastian M. Schmon
In Journal of Economic Dynamics and Control. Vol. 161. 2024.
Details about Black−box Bayesian inference for agent−based models | BibTeX data for Black−box Bayesian inference for agent−based models | DOI (https://doi.org/10.1016/j.jedc.2024.104827) | Link to Black−box Bayesian inference for agent−based models
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[3]
Gradient−assisted calibration for financial agent−based models
Joel Dyer‚ Arnau Quera−Bofarull‚ Ayush Chopra‚ J. Doyne Farmer‚ Anisoara Calinescu and Michael Wooldridge
In Proceedings of the Fourth ACM International Conference on AI in Finance (ICAIF '23). Pages 288–296. 2023.
Details about Gradient−assisted calibration for financial agent−based models | BibTeX data for Gradient−assisted calibration for financial agent−based models | DOI (https://doi.org/10.1145/3604237.3626857) | Link to Gradient−assisted calibration for financial agent−based models
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[4]
Calibrating agent−based models to microdata with graph neural networks
Joel Dyer‚ Patrick Cannon‚ J. Doyne Farmer and Sebastian M. Schmon
In ICML Workshop AI for Agent−Based Modelling (Best Proposal Paper). 2022.
Details about Calibrating agent−based models to microdata with graph neural networks | BibTeX data for Calibrating agent−based models to microdata with graph neural networks | Link to Calibrating agent−based models to microdata with graph neural networks