演讲者：Ryoh Fuji-Hara（日本筑波大学）
时间：2024-11-29 10:00-11:00
地点：理学院大楼 M4009，腾讯会议ID：995 677 362
Abstract
We are inspired by an application in deep learning called the DropConnect method, which sparses edges in a complete bipartite graph (connections) to avoid overfitting, and its application to experimental design to improve estimation accuracy. We propose a combinatorial problem called Spanning Bipartite Block Design (SBBD) and show how to construct designs that satisfy the combinatorial requirements of SBBD.
