Jeremie Houssineau
5 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(14)
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Hot Topic Early Bird
Venues
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Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core AI
(2)
Core Methods
(2)
Learning Types
(2)
Optimization & Theory
(2)
Deep Learning
(1)
Reinforcement Learning
(1)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Mathematics
(1)
Methods
(1)
Probability
(1)
Keywords
bayesian inference
(2)
possibility theory
(2)
multi-agent reinforcement learning
(1)
sample efficiency
(1)
epistemic uncertainty
(1)
expectation maximization
(1)
markov chain monte carlo
(1)
posterior distribution
(1)
maximum likelihood
(1)
diffusion process
(1)
posterior inference
(1)
maximum a posteriori
(1)
particle filter
(1)
learning rate
(1)
instrumental variable regression
(1)
unbiased estimation
(1)
spatial reasoning
(1)
treatment effect
(1)
aleatoric uncertainty
(1)
unobserved confounding
(1)
Papers
From Bayes’ Rule to Bayes Rules: Information Processing, Bayes’ Theorem, and Imprecise Probabilities
UAI 2026
Possibilistic Instrumental Variable Regression with Potentially Invalid Instruments
UAI 2026
Decoupling epistemic and aleatoric uncertainties with possibility theory
AISTATS 2025
Investigating Relational State Abstraction in Collaborative MARL
AAAI 2025
On Unbiased Estimation for Partially Observed Diffusions
JMLR 2024