Preprints

Singularity-agnostic Incomplete U-statistics for Testing Polynomial Constraints in Gaussian Covariance Matrices
with Dennis Leung.
arXiv

Algebraic Sparse Factor Analysis
with Mathias Drton, Alexandros Grosdos and Irem Portakal.
arXiv

Publications

Mixtures of Discrete Decomposable Graphical Models
with Yulia Alexandr and Jane Ivy Coons.
To appear in Algebraic Statistics.
arXiv

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, Vol. 86, No. 4, 987-1012.
paper, code, slides

Unpaired Multi-Domain Causal Representation Learning
with Chandler Squires, Mathias Drton and Caroline Uhler.
NeurIPS 2023, Spotlight paper.
paper, code, poster

Half-Trek Criterion for Identifiability of Latent Variable Models
with Rina Foygel Barber, Mathias Drton and Luca Weihs.
The Annals of Statistics, 2022, Vol. 50, No. 6, 3174–3196.
paper, code, slides

PhD Thesis

Identifiability and Statistical Inference in Latent Variable Modeling, 2024.