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Jennings, Joel

  1. BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
    2023/07/26 by Yashas Annadani, Nick Pawlowski, Annadani, Yashas +8 · 7 citations
    Computer Science · Environmental Science · Neuroscience · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Health, Environment, Cognitive Aging #Machine Learning (cs.LG) #Methodology (stat.ME)
  2. Understanding Causality with Large Language Models: Feasibility and Opportunities
    2023/04/11 by Cheng Zhang, Zhang, Cheng, Paul N. Bennett +18 · 5 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  3. Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems
    2019/01/30 by Mguni, David, Jennings, Joel, Macua, Sergio Valcarcel +3 · 2 citations
    #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
  4. Neural Structure Learning with Stochastic Differential Equations
    2023/11/06 by Benjie Wang, Wang, Benjie, Joel Jennings +3 · 4 citations
    Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Model Reduction and Neural Networks #Neural Networks and Applications
  5. Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise
    2022/10/26 by Gong, Wenbo, Jennings, Joel, Zhang, Cheng +1 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. Learning in Nonzero-Sum Stochastic Games with Potentials
    2021/03/16 by David Mguni, Mguni, David, Yutong Wu +15 · 3 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Auction Theory and Applications #Game Theory and Applications
  7. Cancer Metastasis: Collective Invasion in Heterogeneous Multicellular Systems
    2014/12/31 by Adrien Hallou, Joel Jennings, Hallou, Adrien +3 · 1 citation
    Engineering · Materials Science · #Cell Behavior (q-bio.CB) #FOS: Biological sciences #Nanocluster Synthesis and Applications #Nanoplatforms for cancer theranostics #Tissues and Organs (q-bio.TO)
  8. Towards Causal Foundation Model: on Duality between Causal Inference and Attention
    2023/10/01 by Jiaqi Zhang, Joel Jennings, Zhang, Jiaqi +5 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI)
  9. Decentralised Learning in Systems with Many, Many Strategic Agents
    2018/03/13 by Mguni, David, Jennings, Joel, de Cote, Enrique Munoz · 1 citation
    #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
  10. CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
    2023/02/27 by Desi R. Ivanova, Joel Jennings, Ivanova, Desi R. +7 · 2 citations
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  11. Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
    2023/03/22 by Matthew Ashman, Chao Ma, Ashman, Matthew +7 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
  12. NeurIPS Competition Instructions and Guide: Causal Insights for Learning Paths in Education
    2022/08/17 by Wenbo Gong, Digory Smith, Gong, Wenbo +13 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  13. A Fixed-Point Approach for Causal Generative Modeling
    2024/04/10 by Meyer Scetbon, Joel Jennings, Scetbon, Meyer +7 · 1 citation
    Decision Sciences · Computer Science · #Simulation Techniques and Applications #Semantic Web and Ontologies