報告人：陳洪（華中農業大學）

報告題目：Bilevel Additive Models

報告摘要：As an important paradigm in statistical machine learning, additive models often exhibit excellent capabilities on function approximation and variable selection. This report will explore the construction and algorithmic implementation of bilevel additive models, with focus on three issues including: (1) How to realize the data-driven structure discovery of variable groups? (2) How to automatically design the appropriate loss function? (3) How to mitigate the impact of noisy features on manifold learning? In theory, the report analyzes the upper bounds of generalization error and the consistency of variable selection. In applications, the effectiveness of bilevel additive models has been validated through data experiments.

報告時間：2024年10月27日（星期日）15:30-17:00

報告地點：東三十二樓102室

邀請人：劉海霞

報告人簡介：陳洪，華中農業大學教授，博士生導師。研究方向為機器學習，在人工智能頂會NeurIPS、ICML、ICLR等發表論文20餘篇, 在ACHA、JAT、IEEETPAMI/TIP/TNNLS/TCYB等期刊發表論文40餘篇，在Nature Genetics等發表智慧農業交叉應用論文。主持國家級項目6項，其中國家自然科學基金面上項目3項。