Computational Separations between Sampling and Optimization.
Kunal TalwarPublished in: NeurIPS (2019)
Keyphrases
- mathematical programming
- optimization algorithm
- optimization problems
- neural network
- optimization process
- global optimization
- monte carlo
- optimization method
- sampling strategy
- sampling algorithm
- information systems
- image reconstruction
- artificial intelligence
- learning algorithm
- computational models
- discrete optimization
- optimal design
- constrained optimization
- real world
- machine learning
- random sampling
- optimization methods
- case study
- real time
- sample size
- model selection
- linear programming
- feature selection