A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum.
Prashant KhanduriSiliang ZengMingyi HongHoi-To WaiZhaoran WangZhuoran YangPublished in: NeurIPS (2021)
Keyphrases
- optimization algorithm
- monte carlo
- experimental evaluation
- learning algorithm
- detection algorithm
- theoretical analysis
- cost function
- times faster
- improved algorithm
- optimization process
- computational cost
- k means
- np hard
- recognition algorithm
- dynamic programming
- multi objective
- constrained optimization
- worst case
- search space
- preprocessing
- optimization model
- convergence rate
- global optimization
- global convergence
- neural network
- monte carlo sampling
- segmentation algorithm
- particle swarm optimization
- optimization problems
- simulated annealing
- high accuracy
- probabilistic model
- significant improvement
- optimal solution
- objective function