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ORCIDIoan Gabriel Bucur
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2020 – today
- 2024
[j3]Anna Guinet
, Georg Land, Ioan Gabriel Bucur, Tim Güneysu:
A Tale of Snakes and Horses: Amplifying Correlation Power Analysis on Quadratic Maps. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2024(1): 27-50 (2024)- 2023
- [c6]Mirthe Maria Van Diepen, Ioan Gabriel Bucur, Tom Heskes, Tom Claassen:
Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding. CLeaR 2023: 707-725 - 2022
- [c5]Tom Claassen, Ioan Gabriel Bucur:
Greedy equivalence search in the presence of latent confounders. UAI 2022: 443-452 - 2020
- [c4]Tom Heskes, Evi Sijben, Ioan Gabriel Bucur, Tom Claassen:
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models. NeurIPS 2020 - [c3]Ioan Gabriel Bucur, Tom Claassen, Tom Heskes:
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models. UAI 2020: 1049-1058 - [i6]Tom Heskes, Evi Sijben, Ioan Gabriel Bucur, Tom Claassen:
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models. CoRR abs/2011.01625 (2020) - [i5]Ioan Gabriel Bucur, Tom Claassen, Tom Heskes:
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models. CoRR abs/2012.10141 (2020)
2010 – 2019
- 2019
- [j2]Ioan Gabriel Bucur, Tom Claassen, Tom Heskes:
Large-scale local causal inference of gene regulatory relationships. Int. J. Approx. Reason. 115: 50-68 (2019) - [j1]Ruifei Cui, Ioan Gabriel Bucur, Perry Groot, Tom Heskes:
A novel Bayesian approach for latent variable modeling from mixed data with missing values. Stat. Comput. 29(5): 977-993 (2019) - [i4]Ioan Gabriel Bucur, Tom Claassen, Tom Heskes:
Large-Scale Local Causal Inference of Gene Regulatory Relationships. CoRR abs/1909.03818 (2019) - 2018
- [c2]Ioan Gabriel Bucur, Tom van Bussel, Tom Claassen, Tom Heskes:
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks. PGM 2018: 37-48 - [i3]Ruifei Cui, Ioan Gabriel Bucur, Perry Groot, Tom Heskes:
A Novel Bayesian Approach for Latent Variable Modeling from Mixed Data with Missing Values. CoRR abs/1806.04610 (2018) - [i2]Ioan Gabriel Bucur, Tom van Bussel, Tom Claassen, Tom Heskes:
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks. CoRR abs/1809.06827 (2018) - 2017
- [c1]Ioan Gabriel Bucur, Tom Claassen, Tom Heskes:
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness. AISTATS 2017: 1523-1531 - [i1]Ioan Gabriel Bucur, Tom Claassen, Tom Heskes:
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness. CoRR abs/1704.01864 (2017)
Coauthor Index
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