Research

Assessing Fairness in the Presence of Missing Data

Yiliang Zhang, Qi Long. 

Accepted at NeurIPS, 2021.

[Paper] [Code]

Efficient Design of SLOPE Penalty Sequences in Finite Dimension

Yiliang Zhang, Zhiqi Bu. 

Accepted at AISTATS, 2021.

[Paper] [Poster] [Code]

High-dimensional Nonparametric Density Estimation via Max-Random Forest

Yiliang Zhang, Qi Long, Weijie Su. 

Student Paper Award in ASA Section on Statistical Learning and Data Science, 2020.

[Paper]

An Unconstrained Layer-Peeled Perspective on Neural Collapse

Wenlong Ji, Yiping Lu, Yiliang Zhang, Zhun Deng, Weijie Su 

Accepted at ICLR, 2022.

[Paper] [Code]

MISNN: Multiple Imputation via Semi-parametric Neural Networks

Zhiqi Bu*, Zongyu Dai*, Yiliang Zhang*, Qi Long. 

Shorted version accepted at Workshop in Subset Selection in Machine Learning: From Theory to Practice, ICML, 2021.

[Paper] [Code]

*: equal contributions

Fairness in Missing Data Imputation

Yiliang Zhang, Qi Long. 

Accepted at Workshop in Socially Responsible Machine Learning, ICML, 2021.

[Paper] [Code]