A Cubic Regularization Approach for Finding Local Minimax Points in Nonconvex Minimax Optimization.
Ziyi ChenZhengyang HuQunwei LiZhe WangYi ZhouPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- optimization problems
- global optimization
- image restoration and reconstruction
- data points
- neyman pearson
- optimization algorithm
- b spline
- nonlinear programming
- multi objective
- asymptotic properties
- optimization method
- point sets
- alpha beta
- constrained optimization
- evaluation function
- monte carlo
- linear programming
- optimization methods
- game tree
- genetic algorithm
- imperfect information
- simulated annealing
- evolutionary algorithm