Luis Enrique Sucar
5 papers · 2009–2024 · 2 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (2) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (15)
🐝
Cross-Pollinator
(6)
📈
Trend Setter
Conferences
PGM (4)
JMLR (1)
Top co-authors
Keywords
causal discovery
(3)
transfer learning
(2)
bayesian network
(2)
subject-specific model
(2)
knowledge transfer
(1)
causal structure learning
(1)
structural learning
(1)
graphical model
(1)
causal inference
(1)
causal model
(1)
equivalence class
(1)
markov equivalence class
(1)
particle swarm optimization
(1)
causal graphical model
(1)
hyperparameter selection
(1)
slice algorithm
(1)
interval comparison
(1)
structural hamming distance
(1)
causal direction
(1)
causal effect
(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