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Ruicheng Xian
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2020 – today
- 2024
- [c6]Ruicheng Xian, Qiaobo Li, Gautam Kamath, Han Zhao:
Differentially Private Post-Processing for Fair Regression. ICML 2024 - [i6]Ruicheng Xian, Han Zhao:
Optimal Group Fair Classifiers from Linear Post-Processing. CoRR abs/2405.04025 (2024) - [i5]Ruicheng Xian, Qiaobo Li, Gautam Kamath
, Han Zhao:
Differentially Private Post-Processing for Fair Regression. CoRR abs/2405.04034 (2024) - 2023
- [c5]Ruicheng Xian, Lang Yin, Han Zhao:
Fair and Optimal Classification via Post-Processing. ICML 2023: 37977-38012 - [c4]Yuzheng Hu, Ruicheng Xian, Qilong Wu, Qiuling Fan, Lang Yin, Han Zhao:
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective. NeurIPS 2023 - [c3]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 - [i4]Yuzheng Hu, Ruicheng Xian, Qilong Wu
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective. CoRR abs/2308.13985 (2023) - 2022
- [c2]Ruicheng Xian, Heng Ji, Han Zhao:
Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations. ICLR 2022 - [i3]Ruicheng Xian, Lang Yin, Han Zhao:
Fair and Optimal Classification via Transports to Wasserstein-Barycenter. CoRR abs/2211.01528 (2022) - [i2]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 abs/2212.10764 (2022) - 2020
- [c1]Ziwei Ji, Matus Telgarsky, Ruicheng Xian:
Neural tangent kernels, transportation mappings, and universal approximation. ICLR 2020
2010 – 2019
- 2019
- [i1]Ziwei Ji, Matus Telgarsky, Ruicheng Xian:
Neural tangent kernels, transportation mappings, and universal approximation. CoRR abs/1910.06956 (2019)
Coauthor Index
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