The Fifth International Workshop on Automation in Machine Learning

被引：0

作者：

Wang, Tao ^{[1
]}

Koch, Patrick ^{[2
]}

Wujek, Brett ^{[2
]}

Liu, Jun ^{[3
]}

Li, Hai ^{[4
]}

机构：

[1] Stats Perform, Cary, NC 27513 USA

[2] SAS Inst Inc, Cary, NC USA

[3] Infina ML, Durham, NC USA

[4] Duke Univ, Durham, NC USA

来源：

KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING | 2021年

关键词：

Machine learning; Automation; Hyperparameter Optimization; Neural Architecture Search;

D O I：

10.1145/3447548.3469452

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The Fifth International Workshop on Automation in Machine Learning aims to identify opportunities and challenges for automation in machine learning, to provide an opportunity for researchers to discuss best practices for automation in machine learning potentially leading to definition of standards, and to provide a forum for researchers to speak out and debate on different ideas in automation in machine learning. The workshop agenda includes four invited keynote speakers and four accepted paper presentations chosen from a peer review process. A panel discussion will close out the workshop to allow for an engaging and interactive exchange of thoughts and ideas on AutoML.

引用

页码：4163 / 4164

页数：2