activity
20142022
most citedGeneral Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds

5 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

math.OC2022

A New Complexity Metric for Nonconvex Rank-one Generalized Matrix Completion

Haixiang Zhang, Baturalp Yalcin, Javad Lavaei +1

In this work, we develop a new complexity metric for an important class of low-rank matrix optimization problems in both symmetric and asymmetric cases, where the metric aims to qu…

math.OC2021★ 2 cited

Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods

Baturalp Yalcin, Haixiang Zhang, Javad Lavaei +1

It is well-known that the Burer-Monteiro (B-M) factorization approach can efficiently solve low-rank matrix optimization problems under the RIP condition. It is natural to ask whet…

math.OC2021★ 5 cited

General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds

Haixiang Zhang, Yingjie Bi, Javad Lavaei

This paper considers the global geometry of general low-rank minimization problems via the Burer-Monterio factorization approach. For the rank- case, we prove that there is no s…

math.OC2021

Local and Global Linear Convergence of General Low-rank Matrix Recovery Problems

Yingjie Bi, Haixiang Zhang, Javad Lavaei

We study the convergence rate of gradient-based local search methods for solving low-rank matrix recovery problems with general objectives in both symmetric and asymmetric cases, u…

math.OC2020★ 1 cited

Stochastic Localization Methods for Convex Discrete Optimization via Simulation

Haixiang Zhang, Zeyu Zheng, Javad Lavaei

We develop and analyze a set of new sequential simulation-optimization algorithms for large-scale multi-dimensional discrete optimization via simulation problems with a convexity s…

math.OC2019★ 2 cited

On The Geometric Analysis of A Quartic-quadratic Optimization Problem under A Spherical Constraint

Haixiang Zhang, Andre Milzarek, Zaiwen Wen +1

This paper considers the problem of solving a special quartic-quadratic optimization problem with a single sphere constraint, namely, finding a global and local minimizer of $\frac…

math.NA2014

An ADI Crank-Nicolson Orthogonal Spline Collocation Method for the Two-Dimensional Fractional Diffusion-Wave Equation

Graeme Fairweather, Xuehua Yang, Da Xu +1

A new method is formulated and analyzed for the approximate solution of a two-dimensional time-fractional diffusion-wave equation. In this method, orthogonal spline collocation is…