Dyer, Joel

11 publications

NeurIPS 2025 Emergent Risk Awareness in Rational Agents Under Resource Constraints Daniel Jarne Ornia, Nicholas George Bishop, Joel Dyer, Wei-Chen Lee, Ani Calinescu, J. Doyne Farmer, Michael J. Wooldridge

ICML 2025 Learning Likelihood-Free Reference Priors Nicholas George Bishop, Daniel Jarne Ornia, Joel Dyer, Ani Calinescu, Michael J. Wooldridge

UAI 2024 Approximate Bayesian Computation with Path Signatures Joel Dyer, Patrick Cannon, Sebastian M. Schmon

UAI 2024 Causally Abstracted Multi-Armed Bandits Fabio Massimo Zennaro, Nicholas Bishop, Joel Dyer, Yorgos Felekis, Anisoara Calinescu, Michael Wooldridge, Theodoros Damoulas

NeurIPS 2024 Interventionally Consistent Surrogates for Complex Simulation Models Joel Dyer, Nicholas Bishop, Yorgos Felekis, Fabio Massimo Zennaro, Anisoara Calinescu, Theodoros Damoulas, Michael Wooldridge

NeurIPSW 2024 Model Exploration Through Marginal Likelihood Entropy Maximisation Daniel Jarne Ornia, Joel Dyer, Nicholas George Bishop, Ani Calinescu, Michael J. Wooldridge

ICMLW 2023 Some Challenges of Calibrating Differentiable Agent-Based Models Arnau Quera-Bofarull, Joel Dyer, Ani Calinescu, Michael Wooldridge

AISTATS 2022 Amortised Likelihood-Free Inference for Expensive Time-Series Simulators with Signatured Ratio Estimation Joel Dyer, Patrick W. Cannon, Sebastian M. Schmon

NeurIPSW 2022 Approximate Bayesian Computation for Panel Data with Signature Maximum Mean Discrepancies Joel Dyer, John Fitzgerald, Bastian Rieck, Sebastian M Schmon

ICMLW 2022 Calibrating Agent-Based Models to Microdata with Graph Neural Networks Joel Dyer, Patrick Cannon, J. Doyne Farmer, Sebastian M Schmon

ICMLW 2021 Deep Signature Statistics for Likelihood-Free Time-Series Models Joel Dyer, Patrick W Cannon, Sebastian M Schmon