Joel Jennings - RankMe

25 papers A* 9A 1Journal 15

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	A Fixed-Point Approach for Causal Generative Modeling. ICML Meyer Scetbon, Joel Jennings, Agrin Hilmkil, Cheng Zhang, Chao Ma
2024	J	`jnl`	Deep End-to-end Causal Inference. Trans. Mach. Learn. Res. Tomas Geffner, Javier Antorán, 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
2024	J	`jnl`	FiP: a Fixed-Point Approach for Causal Generative Modeling. CoRR Meyer Scetbon, Joel Jennings, Agrin Hilmkil, Cheng Zhang, Chao Ma
2024	A*	`conf`	Neural structure learning with stochastic differential equations. ICLR Benjie Wang, Joel Jennings, Wenbo Gong
2024	A*	`conf`	Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention. ICML Jiaqi Zhang, Joel Jennings, Agrin Hilmkil, Nick Pawlowski, Cheng Zhang, Chao Ma
2023	A*	`conf`	BayesDAG: Gradient-Based Posterior Inference for Causal Discovery. NeurIPS Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
2023	J	`jnl`	BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery. CoRR Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
2023	A*	`conf`	CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design. ICML Desi R. Ivanova, Joel Jennings, Tom Rainforth, Cheng Zhang, Adam Foster
2023	J	`jnl`	CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design. CoRR Desi R. Ivanova, Joel Jennings, Tom Rainforth, Cheng Zhang, Adam Foster
2023	A*	`conf`	Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning. ICLR Matthew Ashman, Chao Ma, Agrin Hilmkil, Joel Jennings, Cheng Zhang
2023	J	`jnl`	Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning. CoRR Matthew Ashman, Chao Ma, Agrin Hilmkil, Joel Jennings, Cheng Zhang
2023	J	`jnl`	Neural Structure Learning with Stochastic Differential Equations. CoRR Benjie Wang, Joel Jennings, Wenbo Gong
2023	A*	`conf`	Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise. ICLR Wenbo Gong, Joel Jennings, Cheng Zhang, Nick Pawlowski
2023	J	`jnl`	Towards Causal Foundation Model: on Duality between Causal Inference and Attention. CoRR Jiaqi Zhang, Joel Jennings, Cheng Zhang, Chao Ma
2023	J	`jnl`	Understanding Causality with Large Language Models: Feasibility and Opportunities. CoRR Cheng Zhang, Stefan Bauer, Paul Bennett, Jiangfeng Gao, Wenbo Gong, Agrin Hilmkil, Joel Jennings, Chao Ma, Tom Minka, Nick Pawlowski, James Vaughan
2022	J	`jnl`	Efficient Real-world Testing of Causal Decision Making via Bayesian Experimental Design for Contextual Optimisation. CoRR Desi R. Ivanova, Joel Jennings, Cheng Zhang, Adam Foster
2022	J	`jnl`	Instructions and Guide: Causal Insights for Learning Paths in Education. CoRR Wenbo Gong, Digory Smith, Zichao Wang, Craig Barton, Simon Woodhead, Nick Pawlowski, Joel Jennings, Cheng Zhang
2022	J	`jnl`	Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise. CoRR Wenbo Gong, Joel Jennings, Cheng Zhang, Nick Pawlowski
2021	J	`jnl`	DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention. CoRR David Mguni, Joel Jennings, Taher Jafferjee, Aivar Sootla, Yaodong Yang, Changmin Yu, Usman Islam, Ziyan Wang, Jun Wang
2021	A*	`conf`	Learning in Nonzero-Sum Stochastic Games with Potentials. ICML David Henry Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang
2021	J	`jnl`	Learning in Nonzero-Sum Stochastic Games with Potentials. CoRR David Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang
2019	A	`conf`	Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems. AAMAS David Mguni, Joel Jennings, Emilio Sison, Sergio Valcarcel Macua, Sofia Ceppi, Enrique Munoz de Cote
2019	J	`jnl`	Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems. CoRR David Mguni, Joel Jennings, Sergio Valcarcel Macua, Emilio Sison, Sofia Ceppi, Enrique Munoz de Cote
2018	A*	`conf`	Decentralised Learning in Systems With Many, Many Strategic Agents. AAAI David Mguni, Joel Jennings, Enrique Munoz de Cote
2018	J	`jnl`	Decentralised Learning in Systems with Many, Many Strategic Agents. CoRR David Mguni, Joel Jennings, Enrique Munoz de Cote