Joel Dyer

According to our database, Joel Dyer authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

Causally Abstracted Multi-armed Bandits.

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

CoRR, 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