题目：Automated Feature Engineering: Bridging the Gap between Feature Engineering and Self-optimization

主讲人：波特兰州立大学 刘鲲鹏助理教授

主持人：统计学院 黄雁勇教授

时间：2023年11月9日（周四）下午15:00-16:00

地点：西南财经大学柳林校区诚正楼统计学院会议室

报告摘要：

In recent years, data mining has achieved great success in enormous scenarios. As the foundation of data mining, feature engineering plays an essential role in comprehending and perceiving data. Successful feature engineering can remove irrelevant features, generate informative features, improve model performance, enhance generalization, and provide better interpretation and explanation. However, not all researchers and practitioners are experts in feature engineering, making the automation of feature engineering an indispensable demand. In this talk, I will first introduce what feature engineering is and why it is difficult to automate the feature engineering process. Then, I will focus on (1) automated feature selection (2) automated feature generation. Finally, I will conclude the talk and present the big picture of developing intelligent, interpretable, and interactive automated data science systems.

主讲人简介：

刘鲲鹏是波特兰州立大学计算机系助理教授，研究兴趣为数据挖掘与强化学习。他最近的研究方向集中在自动化数据科学系统及其在大数据问题上的应用，包括智能城市、机器学习隐私保护、可解释的推荐系统、用户行为分析。他的研究成果发表在KDD、TKDE、IJCAI、AAAI、WWW 等各个数据挖掘、机器学习的顶级会议、期刊上。多次担任IJCAI高级程序委员会委员，并且在KDD、ICML、ICLR、NeurIPS、AAAI、WWW、CIKM、ICDM等国际顶级会议中常态化担任程序委员会委员。