activity
20172026
most citedJacobi-type algorithm for low rank orthogonal approximation of symmetric tensors and its convergence analysis

8 citations · 13 across the 11 of their papers we have counts for

collaborators
Showing math.NAShow all

7 papers · 1 filter

math.NA2026

Globally Convergent Jacobi-Type Algorithms for Robust Approximate Diagonalization of Higher-Order Cumulant Tensors

Jianze Li, Zhenyu Cai, Wentao Ding +1

The sums of the absolute values of higher-order cumulants are classical contrast functions for independent component analysis (ICA) and lead naturally to robust approximate diagona…

math.NA2020

Convergence of gradient-based block coordinate descent algorithms for non-orthogonal joint approximate diagonalization of matrices

Jianze Li, Konstantin Usevich, Pierre Comon

In this paper, we propose a gradient-based block coordinate descent (BCD-G) framework to solve the joint approximate diagonalization of matrices defined on the product of the compl…

math.NA2019

Polar decomposition based algorithms on the product of Stiefel manifolds with applications in tensor approximation

Jianze Li, Shuzhong Zhang

In this paper, we propose a general algorithmic framework to solve a class of optimization problems on the product of complex Stiefel manifolds based on the matrix polar decomposit…

math.NA2019

On the convergence of Jacobi-type algorithms for Independent Component Analysis

Jianze Li, Konstantin Usevich, Pierre Comon

Jacobi-type algorithms for simultaneous approximate diagonalization of real (or complex) symmetric tensors have been widely used in independent component analysis (ICA) because of…

math.NA2019★ 8 cited

Jacobi-type algorithm for low rank orthogonal approximation of symmetric tensors and its convergence analysis

Jianze Li, Konstantin Usevich, Pierre Comon

In this paper, we propose a Jacobi-type algorithm to solve the low rank orthogonal approximation problem of symmetric tensors. This algorithm includes as a special case the well-kn…

math.NA2018

On approximate diagonalization of third order symmetric tensors by orthogonal transformations

Jianze Li, Konstantin Usevich, Pierre Comon

In this paper, we study the approximate orthogonal diagonalization problem of third order symmetric tensors. We define several classes of approximately diagonal tensors, including…

math.NA2017

Globally convergent Jacobi-type algorithms for simultaneous orthogonal symmetric tensor diagonalization

Jianze Li, Konstantin Usevich, Pierre Comon

In this paper, we consider a family of Jacobi-type algorithms for simultaneous orthogonal diagonalization problem of symmetric tensors. For the Jacobi-based algorithm of [SIAM J. M…