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数学科学学院School Colloquium系列报告 - A generalized Bayes framework for multi-task learning in the context of outcome-guided clustering (Brian Tom)
- 来源：
- 学校官网
- 收录时间：
- 2026-07-17 03:00:36
- 时间：
- 2026-05-25 00:00:00
- 地点：
- 报告人：
- Brian Tom
- 学校：
- -/-
- 关键词：
- multi-task learning, Bayesian methods, outcome-guided clustering, statistical modeling, machine learning
- 简介：
- This talk presents a generalized Bayes framework for multi-task learning in the context of outcome-guided clustering.
- -/- 12
报告介绍：
Mathematics Colloquium Series: Brian Tom from the University of Edinburgh will present recent work on a generalized Bayesian approach to multi-task learning, particularly in the setting of outcome-guided clustering. The talk will cover methodological developments and potential applications in biomedical and health-related data analysis.
报告人介绍：
Brian Tom is a faculty member at the School of Mathematics, University of Edinburgh, with research interests in statistical methodology and applications in health sciences.
报告图片：
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