Sturma, Nils; Squires, Chandler; Drton, Mathias; Uhler, Caroline
Unpaired Multi-Domain Causal Representation Learning
34465--34492
Advances in Neural Information Processing Systems 36
37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023)
2023

Sturma, Nils; Drton, Mathias; Leung, Dennis
Testing many constraints in possibly irregular models using incomplete U-statistics
Journal of the Royal Statistical Society Series B: Statistical Methodology
2024
Mar
1--26

Dettling, Philipp; Drton, Mathias; Kolar, Mladen
On the Lasso for Graphical Continuous Lyapunov Models
514-550
Proceedings of Machine Learning Research
Third Conference on Causal Learning and Reasoning
2024

Strieder, David; Drton, Mathias
Dual Likelihood for Causal Inference under Structure Uncertainty
1-17
Proceedings of Machine Learning Research
Third Conference on Causal Learning and Reasoning
2024

Göbler, Konstantin; Windisch, Tobias; Drton, Mathias; Pychynski, Tim; Roth, Martin; Sonntag, Steffen
causalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery
609--642
Proceedings of Machine Learning Research
Third Conference on Causal Learning and Reasoning
2024

Yu, Shiqing; Drton, Mathias; Shojaie, Ali
Interaction Models and Generalized Score Matching for Compositional Data
1-25
Proceedings of Machine Learning Research
The 2nd Learning on Graphs Conference
2024

Shuai Wang
Learning Polytree Models with Hidden Variables
Masterarbeit
2024

Rahul Radhakrishnan
Learning Graphical Lyapunov Models using Best-subset Selection Methods
Masterarbeit
2023

Ruixuan Zhu
Applying double machine learning and BART methods to the American Causal Inference Conference 2022 Data Challenge
Masterarbeit
2023

Imrane Tola
Modelling Yield Curves and Economic Factors using Vine and Factor Copula Models
Masterarbeit
2024