{"title":"《强盗》中的因果关系:一项调查","authors":"Chandrasekar Subramanian, Balaraman Ravindran","doi":"10.1145/3744917","DOIUrl":null,"url":null,"abstract":"The literature on bandits has developed largely independently of advances in causal inference. Work in the last few years has started investigating the close connections between these two areas and that has led to fruitful ideas that have produced advances in bandit algorithms. We present the first survey focusing specifically on the intersection of these two areas. We first provide a taxonomy for categorizing research in this area, and then place important works within this structure. We also describe various algorithms and methods, and provide the highlights. Finally, we point out promising directions for future research in this area.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":"626 1","pages":""},"PeriodicalIF":23.8000,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Causality in Bandits: A Survey\",\"authors\":\"Chandrasekar Subramanian, Balaraman Ravindran\",\"doi\":\"10.1145/3744917\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The literature on bandits has developed largely independently of advances in causal inference. Work in the last few years has started investigating the close connections between these two areas and that has led to fruitful ideas that have produced advances in bandit algorithms. We present the first survey focusing specifically on the intersection of these two areas. We first provide a taxonomy for categorizing research in this area, and then place important works within this structure. We also describe various algorithms and methods, and provide the highlights. Finally, we point out promising directions for future research in this area.\",\"PeriodicalId\":50926,\"journal\":{\"name\":\"ACM Computing Surveys\",\"volume\":\"626 1\",\"pages\":\"\"},\"PeriodicalIF\":23.8000,\"publicationDate\":\"2025-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Computing Surveys\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1145/3744917\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Computing Surveys","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3744917","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
The literature on bandits has developed largely independently of advances in causal inference. Work in the last few years has started investigating the close connections between these two areas and that has led to fruitful ideas that have produced advances in bandit algorithms. We present the first survey focusing specifically on the intersection of these two areas. We first provide a taxonomy for categorizing research in this area, and then place important works within this structure. We also describe various algorithms and methods, and provide the highlights. Finally, we point out promising directions for future research in this area.
期刊介绍:
ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods.
ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.