Stochastic Chebyshev Gradient Descent for Spectral Optimization.
Insu HanHaim AvronJinwoo ShinPublished in: NeurIPS (2018)
Keyphrases
- stochastic optimization
- optimization algorithm
- global optimization
- cost function
- stochastic programming
- stochastic search
- discrete optimization
- loss function
- spectral decomposition
- optimization process
- image processing
- data sets
- optimization problems
- hidden markov models
- stochastic model
- spectral analysis
- evolutionary algorithm
- artificial neural networks
- reinforcement learning
- monte carlo sampling
- learning algorithm