Search Results for author: Guoyin Li

Found 5 papers, 1 papers with code

Efficiently Maximizing a Homogeneous Polynomial over Unit Sphere without Convex Relaxation

1 code implementation29 Sep 2019 Yuning Yang, Guoyin Li

This problem is equivalent to finding the leading eigenvalue of the associated symmetric tensor of higher order, which is nonconvex and NP-hard.

Optimization and Control

Kurdyka-Łojasiewicz exponent via inf-projection

no code implementations10 Feb 2019 Peiran Yu, Guoyin Li, Ting Kei Pong

In addition, for nonconvex models, we show that the KL exponent of many difference-of-convex functions can be derived from that of their natural majorant functions, and the KL exponent of the Bregman envelope of a function is the same as that of the function itself.

Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods

no code implementations9 Feb 2016 Guoyin Li, Ting Kei Pong

Since many existing local convergence rate analysis for first-order methods in the nonconvex scenario relies on the KL exponent, our results enable us to obtain explicit convergence rate for various first-order methods when they are applied to a large variety of practical optimization models.

Douglas-Rachford splitting for nonconvex optimization with application to nonconvex feasibility problems

no code implementations30 Sep 2014 Guoyin Li, Ting Kei Pong

We then apply our nonconvex DR splitting method to finding a point in the intersection of a closed convex set $C$ and a general closed set $D$ by minimizing the squared distance to $C$ subject to $D$.

Global convergence of splitting methods for nonconvex composite optimization

no code implementations3 Jul 2014 Guoyin Li, Ting Kei Pong

In this paper, we examined two types of splitting methods for solving this nonconvex optimization problem: alternating direction method of multipliers and proximal gradient algorithm.

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