Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances.
Meisam RazaviyaynTianjian HuangSongtao LuMaher NouiehedMaziar SanjabiMingyi HongPublished in: CoRR (2020)
Keyphrases
- min max
- max min
- multiobjective optimization
- recent developments
- convex relaxation
- current challenges
- early days
- lessons learned
- theoretical analysis
- optimization algorithm
- recent advances
- artificial intelligence
- real world
- open issues
- semidefinite
- optimization process
- convex optimization
- optimization problems
- convex sets
- technical challenges
- key issues
- linear programming
- multi objective
- promising directions
- risk minimization
- objective function
- neural network
- globally convergent
- alternating direction method of multipliers