Mathias Drton
Technische Universität München
H-index: 40
Europe-Germany
Top articles of Mathias Drton
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Dual Likelihood for Causal Inference under Structure Uncertainty | arXiv preprint arXiv:2402.08328 | David Strieder Mathias Drton | 2024/2/13 |
On Azadkia–Chatterjee’s conditional dependence coefficient | Bernoulli | Hongjian Shi Mathias Drton Fang Han | 2024/5 |
Unpaired multi-domain causal representation learning | Advances in Neural Information Processing Systems | Nils Sturma Chandler Squires Mathias Drton Caroline Uhler | 2024/2/13 |
Interaction Models and Generalized Score Matching for Compositional Data | Shiqing Yu Mathias Drton Ali Shojaie | 2024/4/17 | |
Rational Maximum Likelihood Estimators of Kronecker Covariance Matrices | arXiv preprint arXiv:2401.08280 | Mathias Drton Alexandros Grosdos Andrew McCormack | 2024/1/16 |
Faithlessness in Gaussian graphical models | arXiv preprint arXiv:2404.05306 | Mathias Drton Leonard Henckel Benjamin Hollering Pratik Misra | 2024/4/8 |
On the lasso for graphical continuous Lyapunov models | Philipp Dettling Mathias Drton Mladen Kolar | 2024/3/15 | |
Testing many constraints in possibly irregular models using incomplete U-statistics | Journal of the Royal Statistical Society Series B: Statistical Methodology | Nils Sturma Mathias Drton Dennis Leung | 2024/3/7 |
High-order Cumulants for Learning Linear Non-Gaussian Causal Models | Carlos Améndola Mathias Drton Alexandros Grosdos Roser Homs Elina Robeva | 2023 | |
Causal structural learning via local graphs | SIAM Journal on Mathematics of Data Science | Wenyu Chen Mathias Drton Ali Shojaie | 2023/6/30 |
Third-order moment varieties of linear non-Gaussian graphical models | Information and Inference: A Journal of the IMA | Carlos Améndola Mathias Drton Alexandros Grosdos Roser Homs Elina Robeva | 2023/9 |
Assessable and interpretable sensitivity analysis in the pattern graph framework for nonignorable missingness mechanisms | Statistics in Medicine | Alireza Zamanian Narges Ahmidi Mathias Drton | 2023/12/20 |
Causal discovery with unobserved confounding and non-Gaussian data | Journal of Machine Learning Research | Y Samuel Wang Mathias Drton | 2023 |
Confidence sets for causal orderings | arXiv preprint arXiv:2305.14506 | Y Samuel Wang Mladen Kolar Mathias Drton | 2023/5/23 |
Directed graphical models and causal discovery for zero-inflated data | Shiqing Yu Mathias Drton Ali Shojaie | 2023/8/10 | |
Confidence in causal inference under structure uncertainty in linear causal models with equal variances | Journal of Causal Inference | David Strieder Mathias Drton | 2023/12/19 |
Rank-Based Causal Discovery for Post-Nonlinear Models | Grigor Keropyan David Strieder Mathias Drton | 2023/4/11 | |
Identifiability of Homoscedastic Linear Structural Equation Models using Algebraic Matroids | arXiv preprint arXiv:2308.01821 | Mathias Drton Benjamin Hollering Jun Wu | 2023/8/3 |
Goodness-of-Fit Tests for Linear Non-Gaussian Structural Equation Models | arXiv preprint arXiv:2311.04585 | Daniela Schkoda Mathias Drton | 2023/11/8 |
Discussion of "A note on universal inference" by Timmy Tse and Anthony Davison | arXiv preprint arXiv:2303.17689 | Mathias Drton Hongjian Shi David Strieder | 2023/3/30 |
Co-Authors
