[Last updated: Nov 1, 2024]
Preprints
Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots with Vincent Guan, Joseph Janssen, Hossein Rahmani, Andrew Warren, Stephen Zhang, and Geoffrey Schiebinger, 2024
Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved Confounding with Daniela Schkoda and Mathias Drton, 2024
Log-concave Density Estimation with Orthogonal Independent Components with Sharvaj Kubal and Christian Campbell, 2024
Causal Inference in Directed, Possibly Cyclic, Graphical Models with Pardis Semnani, 2023
Publications
Log-Concave Density Estimation in Undirected Graphical Models with Kaie Kubjas, Olga Kuznetsova, Pardis Semnani, and Luca Sodomaco, Accepted in Bernoulli , 2024
Multivariate Super-Resolution without Separation with Bakytzhan Kurmanbek, Information and Inference, 2023
Ultramarginal Feature Importance with Joe Janssen and Vincent Guan, AISTATS, 2023
Third-Order Moment Varieties of Linear Non-Gaussian Graphical Models with Carlos Amendola, Mathias Drton, Alexander Grosdos, and Roser Homs, Inofrmation and Inference, 2023
Robust Eigenvectors of Symmetric Tensors with Tommi Muller and Konstantin Usevich, SIAM Journal on Matrix Analysis and its Applications, 2022
Kernel Density Estimation for Totally Positive Random Vectors with Ali Zartash, Algebraic Statistics, 2022
The Set of Orthogonal Tensor Trains with Pardis Semnani, Vietnam Journal of Mathematics (special issue in honor of Bernd Sturmfels' 60th birthday), 2022
Bimonotone Subdivisions of Point Configuraitons in the Plane with Melinda Sun, Algebraic Statistics, 2021
Orthogonal Decomposition of Tensor Trains with Karim Halaseh and Tommi Muller, Linear and Multilinear Algebra, 2021
Learning Linear Non-Gaussian Graphical Models with Multidirected Edges with Yiheng Liu and Huanqing Wang, the Journal of Causal Inference , 2021
Multi-trek Separation in Linear Structural Equation Models with Jean-Baptiste Seby, SIAM Journal on Applied Algebra and Geometry (SIAGA), 2021
Optimal Rates for Estimation of Two-dimensional Totally Positive Distributions with Jan-Christian Huetter, Cheng Mao, and Philippe Rigollet, Electronic Journal of Statistics, 2020
Estimation of Monge Matrices with Jan-Christian Huetter, Cheng Mao, and Philippe Rigollet, Bernoulli, 2020
Maximum Likelihood Estimation for Totally Positive Log-Concave Densities with Bernd Sturmfels, Ngoc Tran, and Caroline Uhler, Scandinavian Journal of Statistics, 2020
Nested Covariance Determinants and Restricted Trek Separation in Gaussian Graphical Models with Mathias Drton and Luca Weihs, Bernoulli, 2020
Duality of Graphical Models and Tensor Networks with Anna Seigal, Information and Inference: A Journal of the IMA, 2019
Geometry of Log-Concave Density Estimation with Bernd Sturmfels and Caroline Uhler, Discrete and Computational Geometry, 2018
Superresolution without Separation with Geoffrey Schiebinger and Benjamin Recht, Information and Inference: A Journal of the IMA, 2018
Determinantal Generalizations of Instrumental Variables with Luca Weihs, Bill Robinson, Emilie Dufresne, Jennifer Kenkel, Kaie Kubjas, Reginald L. McGee II, Nhan Nguyen, and Mathias Drton, Journal of Causal Inference, 2017
The Degree of SO(n) with Madeline Brandt, Juliette Bruce, Taylor Brysiewicz, and Robert Krone, Combinatorial Algebraic Geometry, Fields Institute Communications Edited by Gregory Smith and Bernd Sturmfels, 2017
Singular Vectors of Orthogonally Decomposable tensors with Anna Seigal, Linear and Multilinear Algebra, 2017
Positive Semidefinite Rank and Nested Spectrahedra with Kaie Kubjas and Richard Robinson, Linear and Multilinear Algebra, 2017
Orthogonal and Unitary Tensor Decomposition from an Algebraic Perspective with Ada Boralevi, Jan Draisma and Emil Horobet, Isreal Journal of Mathematics, 2017
Decomposing Tensors into Frames with Luke Oeding and Bernd Sturmfels, Advances in Applied Mathematics, 2016
Orthogonal Decomposition of Symmetric Tensors, SIAM Journal on Matrix Analysis and Applications, 2016
Fixed Points of the EM Algorithm and Nonnegative Rank Boundaries with Kaie Kubjas and Bernd Sturmfels, Annals of Statistics, 2015
Robust Toric Ideals with Adam Boocher, Journal of Symbolic Computation, 2015
Artificial Intelligence for Bidding Hex with Sam Payne, Games of No Chance, Edited by Richard J. Nowakowski, 2015
A Tropical Proof of the Brill-Noether Theorem with Philip Cools, Jan Darisma and Sam Payne, Advances in Mathematics, 2012
An Extensive Survey of Graceful Trees, Undergraduate Honors Thesis, Stanford University 2011