Drton, Mathias; Kahle, Thomas; Sullivant, Seth; Uhler, CarolineAlgebraic Structures in Statistical MethodologyOberwolfach Reports2023194Jul3121-3170
Yu, Shiqing; Drton, Mathias; Shojaie, Ali Directed Graphical Models and Causal Discovery for Zero-Inflated Data27-67Proceedings of Machine Learning ResearchProceedings of the Second Conference on Causal Learning and ReasoningML Research Press2023
Rusek, Krzysztof; Drton, MathiasFine-grained Network Traffic Prediction from Coarse DataAustrian Journal of Statistics2023523Jul114-123
Chen, Wenyu; Drton, Mathias; Shojaie, AliCausal Structural Learning via Local GraphsSIAM Journal on Mathematics of Data Science202352May280-305
Améndola, Carlos; Drton, Mathias; Grosdos, Alexandros; Homs, Roser; Robeva, ElinaThird-order moment varieties of linear non-Gaussian graphical modelsInformation and Inference: A Journal of the IMA2023123Apr1405–1436
Sturma, Nils; Squires, Chandler; Drton, Mathias; Uhler, CarolineUnpaired Multi-Domain Causal Representation LearningPreprint2023Feb
Keropyan, Grigor; Strieder, David; Drton, Mathias Rank-Based Causal Discovery for Post-Nonlinear ModelsProceedings of Machine Learning ResearchProceedings of The 26th International Conference on Artificial Intelligence and StatisticsMLResearchPress2023
Drton, Mathias; Shi, Hongjian; Strieder, DavidDiscussion of “A note on universal inference” by Timmy Tse and Anthony DavisonStat2023121Apr
Keropyan, Grigor; Strieder, David; Drton, MathiasRank-Based Causal Discovery for Post-Nonlinear ModelsPreprint2023Feb