Ruicheng Xian

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Invariant Representations

Polynomial Kernels

Approximation Error

Top Venues

Publications

Ruicheng Xian, Han Zhao
Optimal Group Fair Classifiers from Linear Post-Processing. CoRR (2024)
Ruicheng Xian, Qiaobo Li, Gautam Kamath, Han Zhao
Differentially Private Post-Processing for Fair Regression. CoRR (2024)
Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
Learning List-Level Domain-Invariant Representations for Ranking. NeurIPS (2023)
Yuzheng Hu, Ruicheng Xian, Qilong Wu, Qiuling Fan, Lang Yin, Han Zhao
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective. CoRR (2023)
Ruicheng Xian, Lang Yin, Han Zhao
Fair and Optimal Classification via Post-Processing. ICML (2023)
Yuzheng Hu, Ruicheng Xian, Qilong Wu, Qiuling Fan, Lang Yin, Han Zhao
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective. NeurIPS (2023)
Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
Learning List-Level Domain-Invariant Representations for Ranking. CoRR (2022)
Ruicheng Xian, Heng Ji, Han Zhao
Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations. ICLR (2022)
Ruicheng Xian, Lang Yin, Han Zhao
Fair and Optimal Classification via Transports to Wasserstein-Barycenter. CoRR (2022)
Ziwei Ji, Matus Telgarsky, Ruicheng Xian
Neural tangent kernels, transportation mappings, and universal approximation. ICLR (2020)
Ziwei Ji, Matus Telgarsky, Ruicheng Xian
Neural tangent kernels, transportation mappings, and universal approximation. CoRR (2019)