activity
20192023
most citedFairness-aware Differentially Private Collaborative Filtering

6 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023★ 2 cited

Outlier Robust Adversarial Training

Shu Hu, Zhenhuan Yang, Xin Wang +2

Supervised learning models are challenged by the intrinsic complexities of training data such as outliers and minority subpopulations and intentional attacks at inference time with…

cs.IR2023★ 6 cited

Fairness-aware Differentially Private Collaborative Filtering

Zhenhuan Yang, Yingqiang Ge, Congzhe Su +3

Recently, there has been an increasing adoption of differential privacy guided algorithms for privacy-preserving machine learning tasks. However, the use of such algorithms comes w…

cs.LG2022★ 1 cited

Minimax AUC Fairness: Efficient Algorithm with Provable Convergence

Zhenhuan Yang, Yan Lok Ko, Kush R. Varshney +1

The use of machine learning models in consequential decision making often exacerbates societal inequity, in particular yielding disparate impact on members of marginalized groups d…

cs.LG2020★ 1 cited

Stochastic Hard Thresholding Algorithms for AUC Maximization

Zhenhuan Yang, Baojian Zhou, Yunwen Lei +1

In this paper, we aim to develop stochastic hard thresholding algorithms for the important problem of AUC maximization in imbalanced classification. The main challenge is the pairw…

cs.LG2019★ 2 cited

Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning

Wei Shen, Zhenhuan Yang, Yiming Ying +1

In this paper we study the stability and its trade-off with optimization error for stochastic gradient descent (SGD) algorithms in the pairwise learning setting. Pairwise learning…