Tramontano, Daniele; Kivva, Yaroslav; Salehkaleybar, Saber; Kiyavash, Negar; Drton, Mathias
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants
59924-59944
Proceedings of Machine Learning Research
The 42nd International Conference on Machine Learning
2026

Tramontano, Daniele;Drton, Mathias;Etesami, Jalal
Parameter identification in linear non-Gaussian causal models under general confounding
The Annals of Statistics
2026
54
2
Apr
957-981

Talbut, Roan; Tramontano, Daniele; Cao, Yueqi; Drton, Mathias; Monod, Anthea
Probability metrics for tropical spaces of different dimensions
Foundations of Data Science
2026
10
0
Dec
158-189

Schwank, Richard; Drton, Mathias
On the distance between mean and geometric median in high dimensions
Statistics & Probability Letters
2026
233
Jun
110679

Wang, Y. Samuel; Kolar, Mladen; Drton, Mathias
Confidence Sets for Causal Orderings
Journal of the American Statistical Association
2025
Oct
1-14

Drton, Mathias; Henckel, Leonard; Hollering, Benjamin; Misra, Pratik
Faithlessness in Gaussian graphical models
Bernoulli
2026
32
1
Dec
638-663

Talbut, Roan; Tramontano, Daniele; Cao, Yueqi; Drton, Mathias; Monod, Anthea
Probability metrics for tropical spaces of different dimensions
Foundations of Data Science
2025
0
Dec

Tramontano, Daniele; Kivva, Yaroslav; Salehkaleybar, Saber; Drton, Mathias; Kiyavash, Negar
Causal Effect Identification in LiNGAM Models with Latent Confounders
48468-48493
Proceedings of Machine Learning Research
The 41st International Conference on Machine Learning
2024

Schwank, Richard; McCormack, Andrew; Drton, Mathias
Robust Score Matching
1234-1242
Proceedings of Machine Learning Research
The 28th International Conference on Artificial Intelligence and Statistics
ML Research Press
2025

Göbler, Konstantin; Windisch, Tobias; Drton, Mathias
Nonlinear Causal Discovery for Grouped Data
1453-1475
Proceedings of Machine Learning Research
The 41st Conference on Uncertainty in Artificial Intelligence
2025