Joel Jennings
8 papers · 2021–2024 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Interdisciplinary Bridge Β· Bronze
πΊοΈ
Taxonomy Completionist
(21)
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Triple Crown
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Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Machine Learning
(5)
Core AI
(5)
Knowledge & Reasoning
(3)
Optimization & Theory
(3)
Reasoning
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Learning Types
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Applications
(1)
Architectures
(1)
Keywords
variational inference
(4)
directed acyclic graph
(2)
causal inference
(2)
bayesian inference
(1)
causal structure
(1)
structure learning
(1)
nash equilibrium
(1)
transformer
(1)
fixed-point problem
(1)
posterior inference
(1)
treatment effect estimation
(1)
bayesian experimental design
(1)
structural equation model
(1)
stochastic differential equation
(1)
stochastic game
(1)
causal discovery
(1)
continuous state-action space
(1)
structural causal model
(1)
multi-agent reinforcement learning
(1)
time series analysis
(1)
Papers
A Fixed-Point Approach for Causal Generative Modeling
ICML 2024
Neural structure learning with stochastic differential equations
ICLR 2024
Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention
ICML 2024
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
NeurIPS 2023
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
ICLR 2023
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
ICML 2023
Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise
ICLR 2023
Learning in Nonzero-Sum Stochastic Games with Potentials
ICML 2021