Xiuyan Ni — accepted AI-conference papers

2019

A Topological Regularizer for Classifiers via Persistent Homology

Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang

AISTATS 2019poster

Regularization plays a crucial role in supervised learning. Most existing methods enforce a global regularization in a structure agnostic manner. In this paper, we initiate a new direction and propose to enforce the structural simplicity of the classification boundary by regularizing over its topolo…

Cited by 156 Source ↗PDF ↗Scholar ↗

2017

Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data

Xiuyan Ni, Novi Quadrianto, Yusu Wang, Chao Chen

ICML 2017poster

Clustering data with both continuous and discrete attributes is a challenging task. Existing methods lack a principled probabilistic formulation. In this paper, we propose a clustering method based on a tree-structured graphical model to describe the generation process of mixed-type data. Our tree-s…

Cited by 25 Source ↗PDF ↗Scholar ↗