Marco Scutari
6 papers · 2016–2022 · 1 conference · across top CS/AI conferences
Achievements
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๐ฃ Hot Topic Early Bird ๐ Academic Marathon (6) ๐ Cross-Pollinator (15) ๐บ๏ธ Taxonomy Completionist (15) ๐ Interdisciplinary Bridge
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Keyword Pioneer
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Conference Pioneer
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The Questioner
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Trend Setter
Conferences
PGM (6)
Top co-authors
Keywords
structure learning
(6)
bayesian network
(5)
conditional independence
(2)
expectation maximization
(1)
marginal likelihood
(1)
hierarchical bayesian
(1)
variational approximation
(1)
posterior probability
(1)
graphical model
(1)
score function
(1)
empirical baye
(1)
incomplete datum
(1)
dynamic bayesian network
(1)
bayesian network structure learning
(1)
dirichlet prior
(1)
constraint-based learning
(1)
mixed-effects model
(1)
score-based algorithm
(1)
constraint-based algorithm
(1)
hierarchical dirichlet
(1)
Papers
Using Mixed-Effects Models to Learn Bayesian Networks from Related Data Sets
PGM 2022
Structure Learning from Related Data Sets with a Hierarchical Bayesian Score
PGM 2020
Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data
PGM 2020
Constraing-Based Learning for Continous-Time Bayesian Networks
PGM 2020
Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms?
PGM 2018
An Empirical-Bayes Score for Discrete Bayesian Networks
PGM 2016