Deep Learning-Powered Iterative Combinatorial Auctions with Active Learning.
Benjamin EstermannStefan KramerRoger WattenhoferYe WangPublished in: AAMAS (2023)
Keyphrases
- deep learning
- combinatorial auctions
- active learning
- machine learning
- winner determination
- unsupervised learning
- resource allocation
- mechanism design
- multi unit combinatorial auctions
- multi unit
- single item
- unsupervised feature learning
- semi supervised
- supervised learning
- approximation algorithms
- weakly supervised
- special case
- training examples
- learning strategies
- mathematical programming
- auction mechanisms
- mental models
- learning algorithm
- pairwise
- model selection
- training set
- dimensionality reduction
- higher order