Gherardo Varando
9 papers · 2015–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(7)
Core Methods
(5)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Bayesian & Probabilistic · Machine Learning
(4)
Learning Types · Machine Learning
(4)
Optimization & Theory
(4)
Core AI
(3)
Deep Learning
(2)
Learning Types · Deep Learning
(2)
Healthcare & Medicine
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Mathematics
(1)
Reasoning
(1)
Keywords
graphical model
(5)
structure learning
(3)
staged tree model
(3)
covariance matrix
(2)
bayesian network classifier
(2)
out-of-distribution generalization
(1)
causal discovery
(1)
matrix factorization
(1)
multivariate analysis
(1)
structural learning
(1)
supervised classification
(1)
precision matrix
(1)
signal-to-noise ratio
(1)
distribution shift
(1)
probabilistic inference
(1)
bayesian network
(1)
expectation-maximization algorithm
(1)
graph topology
(1)
stochastic process
(1)
fisher information
(1)
Papers
Learning Causal Response Representations through Direct Effect Analysis
UAI 2025
Out-of-distribution robustness for multivariate analysis via causal regularisation
AISTATS 2025
Context-Specific Refinements of Bayesian Network Classifiers
PGM 2024
Learning Staged Trees from Incomplete Data
PGM 2024
Context-Specific Causal Discovery for Categorical Data Using Staged Trees
AISTATS 2023
Highly Efficient Structural Learning of Sparse Staged Trees
PGM 2022
Graphical continuous Lyapunov models
UAI 2020
A partial orthogonalization method for simulating covariance and concentration graph matrices
PGM 2018
Decision Boundary for Discrete Bayesian Network Classifiers
JMLR 2015