Johan Pensar
8 papers · 2013–2026 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (22)
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Keyword Pioneer
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Trend Setter
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Core AI
(6)
Knowledge & Reasoning
(4)
Core Methods
(4)
Reasoning
(4)
Bayesian & Probabilistic Β· Machine Learning
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Learning Types
(3)
Optimization & Theory
(3)
Deep Learning
(2)
Healthcare & Medicine
(2)
Mathematics & Optimization
(2)
Clinical
(2)
Architectures
(1)
Keywords
bayesian network
(3)
structure learning
(2)
directed acyclic graph
(2)
bayesian inference
(2)
context-specific independence
(2)
causal inference
(2)
causal effect estimation
(1)
bayesian linear regression
(1)
supervised learning
(1)
constraint satisfaction
(1)
structural causal model
(1)
linear regression
(1)
markov network structure
(1)
answer set programming
(1)
multiple instance learning
(1)
causal effect
(1)
probabilistic graphical model
(1)
posterior distribution
(1)
graphical model
(1)
markov chain monte carlo
(1)
Papers
Constrained Random Forest for Domain-Generalizable Classification
UAI 2026
Causal Inference amid Missingness-Specific Independences and Mechanism Shifts
UAI 2025
The Probability of Tiered Benefit: Partial Identification with Robust and Stable Inference
CLeaR 2025
Incorporating probabilistic domain knowledge into deep multiple instance learning
ICML 2024
A Bayesian Approach for Estimating Causal Effects from Observational Data
AAAI 2020
Towards Scalable Bayesian Learning of Causal DAGs
NeurIPS 2020
Structure Learning for Bayesian Networks over Labeled DAGs
PGM 2018
Learning Chordal Markov Networks by Constraint Satisfaction
NeurIPS 2013