Preprints

• Matching Criterion for Identifiability in Sparse Factor Analysis. With Miriam Kranzlmueller, Irem Portakal and Mathias Drton. arXiv
• Singularity-agnostic Incomplete U-statistics for Testing Polynomial Constraints in Gaussian Covariance Matrices. With Dennis Leung. arXiv

Publications

• Algebraic Sparse Factor Analysis. With Mathias Drton, Alexandros Grosdos and Irem Portakal. To appear in SIAM Journal on Applied Algebra and Geometry. arXiv
• Mixtures of Discrete Decomposable Graphical Models. With Yulia Alexandr and Jane Ivy Coons.  Algebraic Statistics (2024), 15(2):269-293. paper
• Testing Many Constraints in Possibly Irregular Models Using Incomplete U-Statistics. With Mathias Drton and Dennis Leung. Journal of the Royal Statistical Society, Series B: Statistical Methodology (2024), 86(4):987-1012. paper
• Unpaired Multi-Domain Causal Representation Learning. With Chandler Squires, Mathias Drton and Caroline Uhler. NeurIPS 2023, Spotlight paper. paper
• Half-Trek Criterion for Identifiability of Latent Variable Models. With Rina Foygel Barber, Mathias Drton and Luca Weihs. The Annals of Statistics (2022), 50(6):3174–3196. paper