Xian, Ruicheng

7 publications

ICML 2025 Empirical Privacy Variance Yuzheng Hu, Fan Wu, Ruicheng Xian, Yuhang Liu, Lydia Zakynthinou, Pritish Kamath, Chiyuan Zhang, David Forsyth

ICML 2024 Differentially Private Post-Processing for Fair Regression Ruicheng Xian, Qiaobo Li, Gautam Kamath, Han Zhao

ICML 2023 Fair and Optimal Classification via Post-Processing Ruicheng Xian, Lang Yin, Han Zhao

NeurIPS 2023 Learning List-Level Domain-Invariant Representations for Ranking Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky

NeurIPS 2023 Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective Yuzheng Hu, Ruicheng Xian, Qilong Wu, Qiuling Fan, Lang Yin, Han Zhao

ICLR 2022 Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations Ruicheng Xian, Heng Ji, Han Zhao

ICLR 2020 Neural Tangent Kernels, Transportation Mappings, and Universal Approximation Ziwei Ji, Matus Telgarsky, Ruicheng Xian