Partial-Quasi-Newton Methods: Efficient Algorithms for Minimax Optimization Problems with Unbalanced Dimensionality.
Chengchang LiuShuxian BiLuo LuoJohn C. S. LuiPublished in: KDD (2022)
Keyphrases
- optimization problems
- evolutionary algorithm
- objective function
- metaheuristic
- cost function
- high dimensional
- dimensionality reduction
- combinatorial optimization problems
- optimization methods
- feature space
- intrinsic dimensionality
- worst case
- high dimensionality
- evaluation function
- optimization criteria
- small size
- lower dimensional
- databases
- multi dimensional
- motion estimation
- multi objective
- training set
- lower bound
- pattern recognition
- search algorithm
- multiscale
- website
- artificial intelligence
- machine learning