{"title":"Machine learning for evaluating and improving theories","authors":"FudenbergDrew, LiangAnnie","doi":"10.1145/3440959.3440962","DOIUrl":null,"url":null,"abstract":"We summarize our recent work that uses machine learning techniques as a complement to theoretical modeling, rather than a substitute for it. The key concepts are those of the completeness and restr...","PeriodicalId":56237,"journal":{"name":"ACM SIGecom Exchanges","volume":"18 1","pages":"4-11"},"PeriodicalIF":0.9000,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3440959.3440962","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGecom Exchanges","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3440959.3440962","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 1
Abstract
We summarize our recent work that uses machine learning techniques as a complement to theoretical modeling, rather than a substitute for it. The key concepts are those of the completeness and restr...