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Joel Jennings

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Neural Structure Learning with Stochastic Differential Equations

Nov 06, 2023
Benjie Wang, Joel Jennings, Wenbo Gong

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Towards Causal Foundation Model: on Duality between Causal Inference and Attention

Oct 01, 2023
Jiaqi Zhang, Joel Jennings, Cheng Zhang, Chao Ma

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BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery

Jul 26, 2023
Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong

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Understanding Causality with Large Language Models: Feasibility and Opportunities

Apr 11, 2023
Cheng Zhang, Stefan Bauer, Paul Bennett, Jiangfeng Gao, Wenbo Gong, Agrin Hilmkil, Joel Jennings, Chao Ma, Tom Minka, Nick Pawlowski, James Vaughan

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Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning

Mar 22, 2023
Matthew Ashman, Chao Ma, Agrin Hilmkil, Joel Jennings, Cheng Zhang

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CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design

Feb 27, 2023
Desi R. Ivanova, Joel Jennings, Tom Rainforth, Cheng Zhang, Adam Foster

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Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise

Oct 26, 2022
Wenbo Gong, Joel Jennings, Cheng Zhang, Nick Pawlowski

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NeurIPS Competition Instructions and Guide: Causal Insights for Learning Paths in Education

Aug 31, 2022
Wenbo Gong, Digory Smith, Zichao Wang, Craig Barton, Simon Woodhead, Nick Pawlowski, Joel Jennings, Cheng Zhang

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Efficient Real-world Testing of Causal Decision Making via Bayesian Experimental Design for Contextual Optimisation

Jul 12, 2022
Desi R. Ivanova, Joel Jennings, Cheng Zhang, Adam Foster

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DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention

Oct 27, 2021
David Mguni, Joel Jennings, Taher Jafferjee, Aivar Sootla, Yaodong Yang, Changmin Yu, Usman Islam, Ziyan Wang, Jun Wang

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