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

T. Heskes, E. Sijben, I. Bucur, and T. Claassen. NeurIPS, (2020)

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Theodor Bucur

Catalin Bucur

Alida Christine Bucur

Alexandra Juliana Bucur

Carmen Bucuroaia

Other publications of authors with the same name

A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks.I. Bucur, T. van Bussel, T. Claassen, and T. Heskes. PGM, volume 72 of Proceedings of Machine Learning Research, page 37-48. PMLR, (2018)Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding.M. Diepen, I. Bucur, T. Heskes, and T. Claassen. CLeaR, volume 213 of Proceedings of Machine Learning Research, page 707-725. PMLR, (2023)Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models.T. Heskes, E. Sijben, I. Bucur, and T. Claassen. NeurIPS, (2020)Large-scale local causal inference of gene regulatory relationships.I. Bucur, T. Claassen, and T. Heskes. Int. J. Approx. Reason., (2019)Greedy equivalence search in the presence of latent confounders.T. Claassen, and I. Bucur. UAI, volume 180 of Proceedings of Machine Learning Research, page 443-452. PMLR, (2022)A novel Bayesian approach for latent variable modeling from mixed data with missing values.R. Cui, I. Bucur, P. Groot, and T. Heskes. Stat. Comput., 29 (5): 977-993 (2019)Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness.I. Bucur, T. Claassen, and T. Heskes. AISTATS, volume 54 of Proceedings of Machine Learning Research, page 1523-1531. PMLR, (2017)A Novel Bayesian Approach for Latent Variable Modeling from Mixed Data with Missing Values.R. Cui, I. Bucur, P. Groot, and T. Heskes. CoRR, (2018)MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models.I. Bucur, T. Claassen, and T. Heskes. UAI, volume 124 of Proceedings of Machine Learning Research, page 1049-1058. AUAI Press, (2020)A Tale of Snakes and Horses: Amplifying Correlation Power Analysis on Quadratic Maps.A. Guinet, G. Land, I. Bucur, and T. Güneysu. IACR Trans. Cryptogr. Hardw. Embed. Syst., 2024 (1): 27-50 (2024)

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Disambiguation of "Bucur, Ioan Gabriel"

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

Please choose a person to relate this publication to

Theodor Bucur

Catalin Bucur

Alida Christine Bucur

Alexandra Juliana Bucur

Carmen Bucuroaia

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bucur, Ioan Gabriel"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models.

Please choose a person to relate this publication to

Theodor Bucur

Catalin Bucur

Alida Christine Bucur

Alexandra Juliana Bucur

Carmen Bucuroaia

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
Harvard
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Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models.