| 2025 | AISTATS | Robust Score Matching. | Richard Schwank, Andrew McCormack, Mathias Drton |
| 2025 | ICML | Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants. | Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash, Mathias Drton |
| 2025 | UAI | Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles. | Mathias Drton, Marina Garrote-Lpez, Niko Nikov, Elina Robeva, Y. Samuel Wang |
| 2025 | UAI | Nonlinear Causal Discovery for Grouped Data. | Konstantin Gbler, Tobias Windisch, Mathias Drton |
| 2024 | ICML | Causal Effect Identification in LiNGAM Models with Latent Confounders. | Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Mathias Drton, Negar Kiyavash |
| 2023 | AISTATS | Rank-Based Causal Discovery for Post-Nonlinear Models. | Grigor Keropyan, David Strieder, Mathias Drton |
| 2022 | UAI | Learning linear non-Gaussian polytree models. | Daniele Tramontano, Anthea Monod, Mathias Drton |
| 2021 | UAI | Confidence in causal discovery with linear causal models. | David Strieder, Tobias Freidling, Stefan Haffner, Mathias Drton |
| 2020 | UAI | Structure Learning for Cyclic Linear Causal Models. | Carlos Amndola, Philipp Dettling, Mathias Drton, Federica Onori, Jun Wu |
| 2018 | AISTATS | Graphical Models for Non-Negative Data Using Generalized Score Matching. | Shiqing Yu, Mathias Drton, Ali Shojaie |
| 2009 | UAI | Robust Graphical Modeling with t-Distributions. | Michael Finegold, Mathias Drton |
| 2004 | UAI | Iterative Conditional Fitting for Gaussian Ancestral Graph Models. | Mathias Drton, Thomas S. Richardson |
| 2003 | UAI | A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence. | Mathias Drton, Thomas S. Richardson |