Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions.
Xiaotie DengXinyan HuTao LinWeiqiang ZhengPublished in: WWW (2022)
Keyphrases
- learning algorithm
- machine learning algorithms
- active learning
- learning problems
- mechanism design
- information revelation
- nash equilibrium
- training data
- machine learning
- convergence rate
- convergence speed
- multi attribute
- electronic marketplaces
- supervised learning
- iterative algorithms
- combinatorial auctions
- deep architectures
- group buying
- auction mechanisms
- nash equilibria
- learning rate
- lower bound
- incomplete information
- upper bound
- fixed point