Maathuis, Marloes H.

11 publications

UAI 2021 Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence — Preface Cassio Campos, Marloes H. Maathuis, Erik Quaeghebeur

JMLR 2020 On Efficient Adjustment in Causal Graphs Janine Witte, Leonard Henckel, Marloes H. Maathuis, Vanessa Didelez

ECML-PKDD 2019 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet

ECML-PKDD 2019 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet

ECML-PKDD 2019 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet

UAI 2017 Interpreting and Using CPDAGs with Background Knowledge Emilija Perkovic, Markus Kalisch, Marloes H. Maathuis

UAI 2017 Structure Learning of Linear Gaussian Structural Equation Models with Weak Edges Marco Eigenmann, Preetam Nandy, Marloes H. Maathuis

UAI 2016 Proceedings of the UAI 2016 Workshop on Causation: Foundation to Application Co-Located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), Jersey City, USA, June 29, 2016 Frederick Eberhardt, Elias Bareinboim, Marloes H. Maathuis, Joris M. Mooij, Ricardo Silva

UAI 2015 A Complete Generalized Adjustment Criterion Emilija Perkovic, Johannes Textor, Markus Kalisch, Marloes H. Maathuis

JMLR 2014 Order-Independent Constraint-Based Causal Structure Learning Diego Colombo, Marloes H. Maathuis

UAI 2011 Learning High-Dimensional DAGs with Latent and Selection Variables (Abstract) Diego Colombo, Marloes H. Maathuis, Markus Kalisch, Thomas S. Richardson