On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms.
Shuyu ChengGuoqiang WuJun ZhuPublished in: NeurIPS (2021)
Keyphrases
- optimization problems
- discrete optimization
- learning algorithm
- data structure
- computational cost
- orders of magnitude
- global convergence
- computational complexity
- times faster
- convergence rate
- approximately optimal
- stopping criteria
- stochastic search
- iterative algorithms
- optimization methods
- computationally efficient
- genetic algorithm
- optimization algorithm
- convergence analysis
- stochastic gradient
- theoretical justification
- machine learning