Publications

Selected

• Zhenhuan Yang, Yan Lok Ko, Kush R. Varshney, Yiming Ying. Minimax AUC Fairness: Efficient Algorithm with Provable Convergence, to appear on AAAI 2023.

• Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying. Differentially Private SGDA for Minimax Problems, 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), Eindhoven, Netherlands, August, 2022.

• Zhenhuan Yang*, Yunwen Lei*, Tianbao Yang, Yiming Ying. Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning, Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, December, 2021. (* Equal Contribution)

• Yunwen Lei*, Zhenhuan Yang*, Tianbao Yang, Yiming Ying. Stability and Generalization of Stochastic Gradient Methods for Minimax Problems, 2021 International Conference on Machine Learning (ICML 2021), Virtual, July, 2021. (* Equal Contribution)

• Zhenhuan Yang, Yunwen Lei, Siwei Lyu, Yiming Ying. Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss, 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021), Virtual, Apr, 2021.