Marco Scutari
7 papers · 2016–2026 · 2 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (22) 🌍 Conference Polyglot · Bronze
🏆
Keyword Champion
(2)
❓
The Questioner
🚀
Conference Pioneer
Top co-authors
Research topics
Artificial Intelligence
(6)
Machine Learning
(6)
Bayesian & Probabilistic · Artificial Intelligence
(6)
Bayesian & Probabilistic · Machine Learning
(5)
Core Methods
(5)
Optimization & Theory
(5)
Learning Types
(3)
Knowledge & Reasoning
(2)
Mathematics & Optimization
(2)
Reasoning
(2)
Learning Paradigms
(1)
Optimization
(1)
Probability
(1)
Representation
(1)
Keywords
structure learning
(6)
bayesian network
(5)
conditional independence
(2)
network structure learning
(2)
bayesian network structure learning
(2)
conditional independence test
(2)
hierarchical bayesian
(1)
posterior probability
(1)
marginal likelihood
(1)
variational approximation
(1)
sparsity regularization
(1)
expectation maximization
(1)
graphical model
(1)
score function
(1)
incomplete data
(1)
hierarchical model
(1)
empirical baye
(1)
dynamic bayesian network
(1)
hybrid algorithm
(1)
bayesian inference
(1)
Papers
DAG Learning from Zero-Inflated Count Data Using Continuous Optimization
CLeaR 2026
Using Mixed-Effects Models to Learn Bayesian Networks from Related Data Sets
PGM 2022
Constraing-Based Learning for Continous-Time Bayesian Networks
PGM 2020
Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data
PGM 2020
Structure Learning from Related Data Sets with a Hierarchical Bayesian Score
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