Convergence and Complexity of Stochastic Subgradient Methods with Dependent Data for Nonconvex Optimization.
Ahmet AlacaogluHanbaek LyuPublished in: CoRR (2022)
Keyphrases
- data sets
- data mining techniques
- database
- data structure
- high dimensional data
- stochastic optimization
- optimization methods
- training data
- computational cost
- data analysis
- convex optimization
- data collection
- missing data
- data sources
- data mining methods
- data quality
- noisy data
- human experts
- statistical methods
- data points
- missing values
- global optimization
- high dimensional
- optimization algorithm
- statistical analysis
- multi objective
- optimization problems