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The Category-theoretical Perspective of Statistic Learning for Amateurs

演讲者

宋丛威

时间

2023年06月02日 13:30 至 14:30

地点

A3-3-301

线上

Zoom 518 868 7656 (BIMSA)

摘要

Statistical learning is a fascinating field that has long been the mainstream of machine learning/artificial intelligence. A large number of results have been produced which can be widely applied to real-world problems. It also leads to many research topics and also stimulates new research. This report summarizes some classic statistical learning models and well-known algorithms, especially for amateurs, and provides a category-theoretic perspective on understanding statistical learning models. The goal is to attract researchers from other fields, including basic mathematics, to participate in the research related to statistical learning.

演讲者介绍

宋丛威于2011年在浙江大学理学院取得应用数学硕士学位，于2014年在浙江大学数学系取得基础数学博士学位，2014-2021年在浙江工业大学之江学院任讲师，2021至今任BIMSA助理研究员。主要研究方向：小波分析，调和分析，机器学习。