Johan Pensar
7 papers · 2013–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (6) π Academic Marathon (12) π Cross-Pollinator (13)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(16)
π
Trend Setter
Conferences
NIPS (2)
AAAI (1)
CLEAR (1)
ICML (1)
PGM (1)
UAI (1)
Top co-authors
Keywords
bayesian network
(3)
bayesian inference
(2)
directed acyclic graph
(2)
structure learning
(2)
posterior distribution
(1)
constraint satisfaction
(1)
bayesian linear regression
(1)
linear regression
(1)
markov network structure
(1)
answer set programming
(1)
graphical model
(1)
probabilistic graphical model
(1)
causal effect
(1)
markov network
(1)
context-specific independence
(1)
constraint-based learning
(1)
labeled dag
(1)
causal inference
(1)
score-based learning
(1)
causal discovery
(1)
Papers
The Probability of Tiered Benefit: Partial Identification with Robust and Stable Inference
CLEAR 2025
Causal Inference amid Missingness-Specific Independences and Mechanism Shifts
UAI 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
NIPS 2020
Structure Learning for Bayesian Networks over Labeled DAGs
PGM 2018
Learning Chordal Markov Networks by Constraint Satisfaction
NIPS 2013