Luis Enrique Sucar
5 papers · 2009–2024 · 2 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(2)
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Knowledge & Reasoning
(4)
Core AI
(4)
Learning Types
(4)
Reasoning
(4)
Core Methods
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Learning Paradigms
(2)
Mathematics & Optimization
(1)
Optimization
(1)
Keywords
markov equivalence class
(3)
causal discovery
(3)
bayesian network
(2)
subject-specific model
(2)
transfer learning
(2)
causal bayesian network
(2)
causal structure learning
(1)
structural learning
(1)
graphical model
(1)
latent variable
(1)
causal effect
(1)
causal intervention
(1)
causal model
(1)
equivalence class
(1)
particle swarm optimization
(1)
causal graphical model
(1)
hyperparameter selection
(1)
slice algorithm
(1)
interval comparison
(1)
structural hamming distance
(1)
Papers
Estimating Bounds on Causal Effects Considering Unmeasured Common Causes
PGM 2024
Knowledge transfer for learning subject-specific causal models
PGM 2022
Knowledge Transfer for Learning Markov Equivalence Classes
PGM 2020
Intervals of Causal Effects for Learning Causal Graphical Models
PGM 2018
Particle Swarm Model Selection
JMLR 2009