1 citations · 1 across the 3 of their papers we have counts for
5 papers
Higher Order Correlation Analysis for Multi-View Learning
Jiawang Nie, Li Wang, Zequn Zheng
Multi-view learning is frequently used in data science. The pairwise correlation maximization is a classical approach for exploring the consensus of multiple views. Since the pairw…
Bilevel Polynomial Programs and Semidefinite Relaxation Methods
Jiawang Nie, Li Wang, Jane Ye
A bilevel program is an optimization problem whose constraints involve another optimization problem. This paper studies bilevel polynomial programs (BPPs), i.e., all the functions…
Semidefinite Relaxations for Best Rank-1 Tensor Approximations
Jiawang Nie, Li Wang
This paper studies the problem of finding best rank-1 approximations for both symmetric and nonsymmetric tensors. For symmetric tensors, this is equivalent to optimizing homogeneou…
Semidefinite relaxations for semi-infinite polynomial programming
Li Wang, Feng Guo
This paper studies how to solve semi-infinite polynomial programming (SIPP) problems by semidefinite relaxation method. We first introduce two SDP relaxation methods for solving po…
Minimizing Rational Functions by Exact Jacobian SDP Relaxation Applicable to Finite Singularities
Feng Guo, Li Wang, Guangming Zhou
This paper considers the optimization problem of minimizing a rational function. We reformulate this problem as polynomial optimization by the technique of homogenization. These tw…