Joel Dyer

According to our database, Joel Dyer authored at least 17 papers between 2020 and 2025.

Collaborative distances:

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

2025

Emergent Risk Awareness in Rational Agents under Resource Constraints.

Daniel Jarne Ornia, Nicholas Bishop, Joel Dyer, Wei-Chen Lee, Ani Calinescu, J. Doyne Farmer, Michael J. Wooldridge

CoRR, May, 2025

2024

BlackBIRDS: Black-Box Inference foR Differentiable Simulators.

Arnau Quera-Bofarull, Joel Dyer, Anisoara Calinescu, J. Doyne Farmer, Michael J. Wooldridge

Dataset, September, 2024

Causally Abstracted Multi-armed Bandits.

Fabio Massimo Zennaro, Nicholas Bishop, Joel Dyer, Yorgos Felekis, Anisoara Calinescu, Michael J. Wooldridge, Theodoros Damoulas

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Approximate Bayesian Computation with Path Signatures.

Joel Dyer, Patrick Cannon, Sebastian M. Schmon

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Interventionally Consistent Surrogates for Complex Simulation Models.

Joel Dyer, Nicholas Bishop, Yorgos Felekis, Fabio Massimo Zennaro, Anisoara Calinescu, Theodoros Damoulas, Michael J. Wooldridge

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Population Synthesis as Scenario Generation for Simulation-based Planning under Uncertainty.

Joel Dyer, Arnau Quera-Bofarull, Nicholas Bishop, J. Doyne Farmer, Anisoara Calinescu, Michael J. Wooldridge

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

BlackBIRDS: Black-Box Inference foR Differentiable Simulators.

Arnau Quera-Bofarull, Joel Dyer, Anisoara Calinescu, J. Doyne Farmer, Michael J. Wooldridge

J. Open Source Softw., October, 2023

BlackBIRDS: Black-Box Inference foR Differentiable Simulators.

Arnau Quera-Bofarull, Joel Dyer, Anisoara Calinescu, J. Doyne Farmer, Michael J. Wooldridge

Dataset, September, 2023

Interventionally Consistent Surrogates for Agent-based Simulators.

Joel Dyer, Nicholas Bishop, Yorgos Felekis, Fabio Massimo Zennaro, Anisoara Calinescu, Theodoros Damoulas, Michael J. Wooldridge

CoRR, 2023

Some challenges of calibrating differentiable agent-based models.

Arnau Quera-Bofarull, Joel Dyer, Anisoara Calinescu, Michael J. Wooldridge

CoRR, 2023

Bayesian calibration of differentiable agent-based models.

Arnau Quera-Bofarull, Ayush Chopra, Anisoara Calinescu, Michael J. Wooldridge, Joel Dyer

CoRR, 2023

Gradient-Assisted Calibration for Financial Agent-Based Models.

Joel Dyer, Arnau Quera-Bofarull, Ayush Chopra, J. Doyne Farmer, Anisoara Calinescu, Michael J. Wooldridge

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022

Calibrating Agent-based Models to Microdata with Graph Neural Networks.

Joel Dyer, Patrick Cannon, J. Doyne Farmer, Sebastian M. Schmon

CoRR, 2022

Black-box Bayesian inference for economic agent-based models.

Joel Dyer, Patrick Cannon, J. Doyne Farmer, Sebastian M. Schmon

CoRR, 2022

Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation.

Joel Dyer, Patrick W. Cannon, Sebastian M. Schmon

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

Data-driven modeling of public risk perception and emotion on Twitter during the Covid-19 pandemic.

Blas Kolic, Joel Dyer

CoRR, 2020

Public risk perception and emotion on Twitter during the Covid-19 pandemic.

Joel Dyer, Blas Kolic

Appl. Netw. Sci., 2020