Ioan Gabriel Bucur

Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022

Greedy equivalence search in the presence of latent confounders.

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[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2020

MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models.

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[DOI]

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

A novel Bayesian approach for latent variable modeling from mixed data with missing values.

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[DOI]

Stat. Comput., 2019

Large-scale local causal inference of gene regulatory relationships.

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[DOI]

Int. J. Approx. Reason., 2019

2018

A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks.

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[DOI]

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

2017

Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness.

[BibT_eX]

[DOI]