Greedy Equivalence Search in the Presence of Latent Confounders
Tom Claassen, Ioan Gabriel Bucur
Published in Conference on Uncertainty in Artificial Intelligence (UAI 2022)
Research
I am currently employed at Radboud University Nijmegen as Assistant Professor in Statistical Machine Learning and Explainable AI for Health. I want to help policymakers extract meaningful information from data so that they can make better decisions. I am working on developing robust machine learning methods with application to real-life settings.
Selected Publications
Towards Individualized Monitoring of Cognition in Multiple Sclerosis in the Digital Era: A One-year Cohort Study
Ka-Hoo Lam, Ioan Gabriel Bucur, Pim Van Oirschot, Frank De Graaf, Hans Weda, Eva Strijbis, Bernard Uitdehaag, Tom Heskes, Joep Killestein, Vincent De Groot
Published in Multiple Sclerosis and Related Disorders
Understanding the Assumptions Underlying Mendelian Randomization
Christiaan de Leeuw, Jeanne Savage, Ioan Gabriel Bucur, Tom Heskes, and Danielle Posthuma
Published in European Journal of Human Genetics
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models
Tom Heskes, Evi Sijben, Ioan Gabriel Bucur, and Tom Claassen
Presented at Conference on Neural Information Processing Systems (NeurIPS 2020)
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
Ioan Gabriel Bucur, Tom Claassen, and Tom Heskes
Presented at Conference on Uncertainty in Artificial Intelligence (UAI 2020)
Large-Scale Local Causal Inference of Gene Regulatory Relationships
Ioan Gabriel Bucur, Tom Claassen, and Tom Heskes
Published in International Journal of Approximate Reasoning
Inferring the Direction of a Causal Link and Estimating Its Effect via a Bayesian Mendelian Randomization Approach
Ioan Gabriel Bucur, Tom Claassen, and Tom Heskes
Published in Statistical Methods in Medical Research
A Novel Bayesian Approach for Latent Variable Modeling from Mixed Data with Missing Values
Ruifei Cui, Ioan Gabriel Bucur, Perry Groot, and Tom Heskes
Published in Statistics and Computing
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness
Ioan Gabriel Bucur, Tom Claassen, and Tom Heskes
Presented at Conference on Artificial Intelligence and Statistics (AISTATS 2017)
Visiting Address
Mercator I Building - Office M1.05.02
Toernooiveld 212, 6525EC Nijmegen