Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots.
CoRR, 2024
Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved Confounding.
CoRR, 2024
Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Robust Eigenvectors of Symmetric Tensors.
SIAM J. Matrix Anal. Appl., December, 2022
Publisher Correction: Geometry of Log-Concave Density Estimation.
Discret. Comput. Geom., 2022
Multivariate Super-Resolution without Separation.
CoRR, 2022
Multi-Trek Separation in Linear Structural Equation Models.
SIAM J. Appl. Algebra Geom., 2021
Learning Linear Non-Gaussian Graphical Models with Multidirected Edges.
CoRR, 2020
Orthogonal Decomposition of Tensor Trains.
CoRR, 2020
Geometry of Log-Concave Density Estimation.
Discret. Comput. Geom., 2019
Estimation of Monge Matrices.
CoRR, 2019
Duality of Graphical Models and Tensor Networks.
CoRR, 2017
Decomposing Matrices, Tensors, and Images.
PhD thesis, 2016
Orthogonal Decomposition of Symmetric Tensors.
SIAM J. Matrix Anal. Appl., 2016
Decomposing tensors into frames.
Adv. Appl. Math., 2016
Superresolution without separation.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015