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

Wang, Y. Samuel; Drton, Mathias
Causal Discovery with Unobserved Confounding and Non-Gaussian Data
Journal of Machine Learning Research
2023
24
271
Aug
1−61

Zamanian, Alireza; Ahmidi, Narges; Drton, Mathias
Assessable and interpretable sensitivity analysis in the pattern graph framework for nonignorable missingness mechanisms
Statistics in Medicine
2023
42
29
Sep
5419-5450

Strieder, David; Drton, Mathias
Confidence in causal inference under structure uncertainty in linear causal models with equal variances
Journal of Causal Inference
2023
11
1
Dec

Dettling, Philippp; Homs, Roser; Améndola, Carlos; Drton, Mathias; Hansen, Niels Richard
Identifiability in Continuous Lyapunov Models
SIAM Journal on Matrix Analysis and Applications
2023
44
4
Dec
1799-1821

Tramontano, Daniele; Waldmann, Leonard; Drton, Mathias; Duarte, Eliana .
Learning Linear Gaussian Polytree Models With Interventions
IEEE Journal on Selected Areas in Information Theory
2023
4
Oct
569-578

Wu, Jun; Drton, Mathias
Partial Homoscedasticity in Causal Discovery with Linear Models
IEEE Journal on Selected Areas in Information Theory
2023
Nov
639 - 650

Drton, Mathias; Kahle, Thomas; Sullivant, Seth; Uhler, Caroline
Algebraic Structures in Statistical Methodology
Oberwolfach Reports
2023
19
4
Jul
3121-3170

Yu, Shiqing; Drton, Mathias; Shojaie, Ali
Directed Graphical Models and Causal Discovery for Zero-Inflated Data
27-67
Proceedings of Machine Learning Research
Proceedings of the Second Conference on Causal Learning and Reasoning
ML Research Press
2023

Rusek, Krzysztof; Drton, Mathias
Fine-grained Network Traffic Prediction from Coarse Data
Austrian Journal of Statistics
2023
52
3
Jul
114-123