Ioan Gabriel Bucur
6 papers · 2017–2026 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Silver
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Academic Marathon ยท Sprint
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Interdisciplinary Bridge ยท Bronze
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Research topics
Keywords
bayesian inference
(3)
causal discovery
(3)
causal structure
(2)
posterior distribution
(2)
instrumental variable
(2)
posterior probability
(1)
likelihood function
(1)
causal effect
(1)
conditional independence test
(1)
markov equivalence
(1)
gene regulatory network
(1)
genome-wide association study
(1)
mixed data
(1)
explainable artificial intelligence
(1)
faithfulness assumption
(1)
causal direction
(1)
fci algorithm
(1)
latent confounding
(1)
local causal structure
(1)
causal estimation
(1)
Papers
Bayesian Causal Discovery Networks for Linear Mixed Data
CLeaR 2026
Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding
CLeaR 2023
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models
NeurIPS 2020
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
UAI 2020
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks
PGM 2018
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness
AISTATS 2017