Eric Evert

According to our database, Eric Evert authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Decomposition of a Tensor into Multilinear Rank-\({(M_{{r}},N_{{r}},\cdot )}\) Terms.

Ignat Domanov, Nico Vervliet, Eric Evert, Lieven De Lathauwer

SIAM J. Matrix Anal. Appl., 2024

New Tools for Smoothed Analysis: Least Singular Value Bounds for Random Matrices with Dependent Entries.

Aditya Bhaskara, Eric Evert, Vaidehi Srinivas, Aravindan Vijayaraghavan

Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

2023

Empirical Properties of Optima in Free Semidefinite Programs.

Eric Evert, Yi Fu, J. William Helton, John Yin

Exp. Math., July, 2023

On Best Low Rank Approximation of Positive Definite Tensors.

Eric Evert, Lieven De Lathauwer

SIAM J. Matrix Anal. Appl., June, 2023

Uniqueness Result and Algebraic Algorithm for Decomposition into Multilinear Rank- $(M_{r}, N_{r}, \cdot)$ Terms and Joint Block Diagonalization.

Eric Evert, Nico Vervliet, Ignat Domanov, Lieven De Lathauwer

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022

Canonical Polyadic Decomposition via the Generalized Schur Decomposition.

Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer

IEEE Signal Process. Lett., 2022

A Recursive Eigenspace Computation for the Canonical Polyadic Decomposition.

Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer

SIAM J. Matrix Anal. Appl., 2022

Guarantees for Existence of a Best Canonical Polyadic Approximation of a Noisy Low-Rank Tensor.

Eric Evert, Lieven De Lathauwer

SIAM J. Matrix Anal. Appl., 2022

CPD Computation via Recursive Eigenspace Decompositions.

Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer

Proceedings of the IEEE International Conference on Acoustics, 2022