Automated, Parallel Optimization Algorithms for Stochastic Functions.
Dheeraj ChahalSteven J. StuartSebastien GoasguenColin J. TroutPublished in: IPDPS Workshops (2011)
Keyphrases
- optimization problems
- stochastic search
- theoretical analysis
- learning algorithm
- discrete optimization
- significant improvement
- worst case
- optimization methods
- times faster
- parallel architectures
- global optimization
- neural network
- benchmark datasets
- computationally efficient
- computational complexity
- data structure
- orders of magnitude
- optimal policy
- combinatorial optimization
- stochastic optimization
- search algorithm
- stochastic programming
- stochastic gradient
- optimization approaches
- efficient optimization
- parallel implementations
- parallel hardware