iMLCA: Machine Learning-powered Iterative Combinatorial Auctions with Interval Bidding.
Manuel BeyelerGianluca BreroBenjamin LubinSven SeukenPublished in: EC (2021)
Keyphrases
- combinatorial auctions
- machine learning
- winner determination
- multi unit
- resource allocation
- mechanism design
- approximation algorithms
- single item
- auction mechanisms
- bidding strategies
- multi item
- auction protocol
- special case
- mathematical programming
- multi unit combinatorial auctions
- social welfare
- multi dimensional
- lower bound
- computational complexity