Ioan Gabriel Bucur

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Robust Estimator

Causal Inference

Equivalence Class

Top Venues

IACR Trans. Cryptogr. Hardw. Embed. Syst.

Publications

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) (2024)
Mirthe Maria Van Diepen, Ioan Gabriel Bucur, Tom Heskes, Tom Claassen
Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding. CLeaR (2023)
Tom Claassen, Ioan Gabriel Bucur
Greedy equivalence search in the presence of latent confounders. UAI (2022)
Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models. UAI (2020)
Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models. CoRR (2020)
Tom Heskes, Evi Sijben, Ioan Gabriel Bucur, Tom Claassen
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models. CoRR (2020)
Tom Heskes, Evi Sijben, Ioan Gabriel Bucur, Tom Claassen
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models. NeurIPS (2020)
Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
Large-scale local causal inference of gene regulatory relationships. Int. J. Approx. Reason. 115 (2019)
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) (2019)
Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
Large-Scale Local Causal Inference of Gene Regulatory Relationships. CoRR (2019)
Ioan Gabriel Bucur, Tom van Bussel, Tom Claassen, Tom Heskes
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks. PGM (2018)
Ruifei Cui, Ioan Gabriel Bucur, Perry Groot, Tom Heskes
A Novel Bayesian Approach for Latent Variable Modeling from Mixed Data with Missing Values. CoRR (2018)
Ioan Gabriel Bucur, Tom van Bussel, Tom Claassen, Tom Heskes
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks. CoRR (2018)
Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness. CoRR (2017)
Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness. AISTATS (2017)