Auction optimization using regression trees and linear models as integer programs

作者:

摘要

In a sequential auction with multiple bidding agents, the problem of determining the ordering of the items to sell in order to maximize the expected revenue is highly challenging. The challenge is largely due to the fact that the autonomy and private information of the agents heavily influence the outcome of the auction.

论文关键词:Auction design,Machine learning,Optimization,Integer linear programming,Regression

论文评审过程:Revised 14 May 2015, Accepted 21 May 2015, Available online 29 May 2015, Version of Record 9 February 2017.

论文官网地址:https://doi.org/10.1016/j.artint.2015.05.004