Améndola, Carlos; Drton, Mathias; Grosdos, Alexandros, Homs, Roser; Robeva, Elina
High-order Cumulants for Learning Linear Non-Gaussian Causal Models
2023 Joint Mathematics Meeting (JMM 2023)
2023

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

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

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

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

Maathuis, Marloes; Drton, Mathias; Lauritzen, Steffen; Wainwright, Martin
Handbook of Graphical Models
CRC Press
2018
554

Drton, Mathias; Sturmfels, Bernd; Sullivant, Seth
Lectures on Algebraic Statistics
Birkhäuser Basel
2009
172

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
Preprint
2023
Feb