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
1-1

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

Chen, Wenyu; Drton, Mathias; Shojaie, Ali
Causal Structural Learning via Local Graphs
SIAM Journal on Mathematics of Data Science
2023
5
2
May
280-305

Améndola, Carlos; Drton, Mathias; Grosdos, Alexandros; Homs, Roser; Robeva, Elina
Third-order moment varieties of linear non-Gaussian graphical models
Information and Inference: A Journal of the IMA
2023
12
3
Apr
1405–1436

Sturma, Nils; Squires, Chandler; Drton, Mathias; Uhler, Caroline
Unpaired Multi-Domain Causal Representation Learning
Preprint
2023
Feb

Keropyan, Grigor; Strieder, David; Drton, Mathias
Rank-Based Causal Discovery for Post-Nonlinear Models
Proceedings of Machine Learning Research
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics
MLResearchPress
2023

Drton, Mathias; Shi, Hongjian; Strieder, David
Discussion of “A note on universal inference” by Timmy Tse and Anthony Davison
Stat
2023
12
1
Apr