A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling.
Xiaotie DengRon LaviTao LinQi QiWenwei WangXiang YanPublished in: NeurIPS (2020)
Keyphrases
- theoretic analysis
- theoretical analysis
- objective function
- learning algorithm
- worst case
- computational cost
- computational complexity
- dynamic programming
- search space
- sampling algorithm
- improved algorithm
- times faster
- monte carlo
- detection algorithm
- preprocessing
- machine learning
- optimal strategy
- recognition algorithm
- optimal solution
- cost function
- significant improvement
- k means
- reinforcement learning
- segmentation algorithm
- particle swarm optimization
- clustering method
- linear programming
- image reconstruction
- neural network
- video sequences