A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems.
Jiawei ZhangPeijun XiaoRuoyu SunZhi-Quan LuoPublished in: NeurIPS (2020)
Keyphrases
- min max
- objective function
- benchmark problems
- k means
- learning algorithm
- cost function
- simulated annealing
- segmentation algorithm
- quadratic optimization problems
- test problems
- optimization problems
- computational complexity
- iterative algorithms
- worst case
- multiobjective optimization
- np hard
- multi objective
- combinatorial optimization
- error function
- piecewise linear
- np complete
- constrained optimization
- global optimization
- expectation maximization
- optimal solution
- similarity measure