Jennings, Joel

16 publications

ICML 2024 A Fixed-Point Approach for Causal Generative Modeling Meyer Scetbon, Joel Jennings, Agrin Hilmkil, Cheng Zhang, Chao Ma

TMLR 2024 Deep End-to-End Causal Inference Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Agrin Hilmkil, Joel Jennings, Meyer Scetbon, Miltiadis Allamanis, Cheng Zhang

ICLR 2024 Neural Structure Learning with Stochastic Differential Equations Benjie Wang, Joel Jennings, Wenbo Gong

ICML 2024 Towards Causal Foundation Model: On Duality Between Optimal Balancing and Attention Jiaqi Zhang, Joel Jennings, Agrin Hilmkil, Nick Pawlowski, Cheng Zhang, Chao Ma

ICMLW 2023 Answering Causal Questions with Augmented LLMs Nick Pawlowski, James Vaughan, Joel Jennings, Cheng Zhang

NeurIPS 2023 BayesDAG: Gradient-Based Posterior Inference for Causal Discovery Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong

ICMLW 2023 BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong

ICML 2023 CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design Desi R. Ivanova, Joel Jennings, Tom Rainforth, Cheng Zhang, Adam Foster

ICLR 2023 Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning Matthew Ashman, Chao Ma, Agrin Hilmkil, Joel Jennings, Cheng Zhang

ICLR 2023 Rhino: Deep Causal Temporal Relationship Learning with History-Dependent Noise Wenbo Gong, Joel Jennings, Cheng Zhang, Nick Pawlowski

NeurIPSW 2022 A Causal AI Suite for Decision-Making Emre Kiciman, Eleanor Wiske Dillon, Darren Edge, Adam Foster, Agrin Hilmkil, Joel Jennings, Chao Ma, Robert Ness, Nick Pawlowski, Amit Sharma, Cheng Zhang

NeurIPSW 2022 Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning Matthew Ashman, Chao Ma, Agrin Hilmkil, Joel Jennings, Cheng Zhang

NeurIPSW 2022 Deep End-to-End Causal Inference Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Agrin Hilmkil, Joel Jennings, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang

NeurIPSW 2022 Rhino: Deep Causal Temporal Relationship Learning with History-Dependent Noise Wenbo Gong, Joel Jennings, Cheng Zhang, Nick Pawlowski

ICML 2021 Learning in Nonzero-Sum Stochastic Games with Potentials David H Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang

AAAI 2018 Decentralised Learning in Systems with Many, Many Strategic Agents David Mguni, Joel Jennings, Enrique Munoz de Cote