2024
Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots.
CoRR, 2024

Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved Confounding.
CoRR, 2024

2023
Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
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

2021
Multi-Trek Separation in Linear Structural Equation Models.
SIAM J. Appl. Algebra Geom., 2021

2020
Learning Linear Non-Gaussian Graphical Models with Multidirected Edges.
CoRR, 2020

Orthogonal Decomposition of Tensor Trains.
CoRR, 2020

2019
Geometry of Log-Concave Density Estimation.
Discret. Comput. Geom., 2019

Estimation of Monge Matrices.
CoRR, 2019

2017
Duality of Graphical Models and Tensor Networks.
CoRR, 2017

2016
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

2015
Robust toric ideals.
J. Symb. Comput., 2015

Superresolution without separation.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015