Doubly Smoothed GDA: Global Convergent Algorithm for Constrained Nonconvex-Nonconcave Minimax Optimization.
Taoli ZhengLinglingzhi ZhuAnthony Man-Cho SoJose H. BlanchetJiajin LiPublished in: CoRR (2022)
Keyphrases
- optimization algorithm
- learning algorithm
- dynamic programming
- optimal solution
- detection algorithm
- preprocessing
- segmentation algorithm
- probabilistic model
- optimization process
- worst case
- cost function
- global optimization
- objective function
- experimental evaluation
- computational cost
- neural network
- constrained optimization
- multi objective
- k means
- computational complexity
- optimization model
- global convergence
- lagrange multipliers
- stochastic gradient
- concave convex procedure