High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids.
Liang DingRui TuoXiaowei ZhangPublished in: CoRR (2021)
Keyphrases
- high dimensional
- sparse data
- high dimensional data
- global optimization
- nearest neighbor
- multi dimensional
- feature space
- variable selection
- low dimensional
- optimization algorithm
- dimensionality reduction
- sparse representation
- simulation environment
- high dimensionality
- metric space
- high dimension
- optimization process
- generalized linear models
- microarray data
- parameter space
- noisy data
- dimension reduction
- similarity search
- sparse coding
- input space
- simulation model
- optimization methods
- optimal control
- computer vision
- combinatorial optimization
- optimization method
- simulated annealing
- joint optimization
- data points
- metabolic engineering