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Yue Xing 0002
Person information
- affiliation: Purdue University, Department of Statistics, IN, USA
Other persons with the same name
- Yue Xing — disambiguation page
- Yue Xing 0001
— Princeton University, Department of Electrical Engineering, NJ, USA (and 1 more)
- Yue Xing 0003 — University of Nottingham, School of Medicine, UK
- Yue Xing 0004
— North China Electric Power University, National Thermal Power Engineering & Technology Research Center, Beijing, China
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2020 – today
- 2024
- [c10]Yue Xing, Xiaofeng Lin, Qifan Song, Yi Xu, Belinda Zeng, Guang Cheng:
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective. AISTATS 2024: 199-207 - [c9]Rajdeep Haldar, Yue Xing, Qifan Song:
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability. AISTATS 2024: 1090-1098 - [i11]Yue Xing, Xiaofeng Lin, Qifan Song, Yi Xu, Belinda Zeng, Guang Cheng:
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective. CoRR abs/2401.15248 (2024) - [i10]Yue Xing, Xiaofeng Lin, Namjoon Suh, Qifan Song, Guang Cheng:
Benefits of Transformer: In-Context Learning in Linear Regression Tasks with Unstructured Data. CoRR abs/2402.00743 (2024) - [i9]Rajdeep Haldar, Yue Xing, Qifan Song:
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability. CoRR abs/2403.03967 (2024) - 2022
- [j1]Yue Xing, Qifan Song, Guang Cheng:
Benefit of Interpolation in Nearest Neighbor Algorithms. SIAM J. Math. Data Sci. 4(2): 935-956 (2022) - [c8]Yue Xing, Qifan Song, Guang Cheng:
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness. AISTATS 2022: 136-168 - [c7]Yue Xing, Qifan Song, Guang Cheng:
Why Do Artificially Generated Data Help Adversarial Robustness. NeurIPS 2022 - [c6]Yue Xing, Qifan Song, Guang Cheng:
Phase Transition from Clean Training to Adversarial Training. NeurIPS 2022 - [i8]Yue Xing, Qifan Song, Guang Cheng:
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness. CoRR abs/2202.06996 (2022) - [i7]Yue Xing, Qifan Song, Guang Cheng:
Benefit of Interpolation in Nearest Neighbor Algorithms. CoRR abs/2202.11817 (2022) - 2021
- [c5]Yue Xing, Qifan Song, Guang Cheng:
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation. AISTATS 2021: 496-504 - [c4]Yue Xing, Qifan Song, Guang Cheng:
On the Generalization Properties of Adversarial Training. AISTATS 2021: 505-513 - [c3]Yue Xing, Ruizhi Zhang, Guang Cheng:
Adversarially Robust Estimate and Risk Analysis in Linear Regression. AISTATS 2021: 514-522 - [c2]Yue Xing, Qifan Song, Guang Cheng:
On the Algorithmic Stability of Adversarial Training. NeurIPS 2021: 26523-26535 - 2020
- [c1]Shih-Kang Chao, Zhanyu Wang, Yue Xing, Guang Cheng:
Directional Pruning of Deep Neural Networks. NeurIPS 2020 - [i6]Yue Xing, Qifan Song, Guang Cheng:
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation. CoRR abs/2002.05304 (2020) - [i5]Shih-Kang Chao, Zhanyu Wang, Yue Xing, Guang Cheng:
Directional Pruning of Deep Neural Networks. CoRR abs/2006.09358 (2020) - [i4]Yue Xing, Qifan Song, Guang Cheng:
On the Generalization Properties of Adversarial Training. CoRR abs/2008.06631 (2020) - [i3]Yue Xing, Ruizhi Zhang, Guang Cheng:
Adversarially Robust Estimate and Risk Analysis in Linear Regression. CoRR abs/2012.10278 (2020)
2010 – 2019
- 2019
- [i2]Yue Xing
, Qifan Song, Guang Cheng:
Benefit of Interpolation in Nearest Neighbor Algorithms. CoRR abs/1909.11720 (2019) - 2018
- [i1]Yue Xing
, Qifan Song, Guang Cheng:
Statistical Optimality of Interpolated Nearest Neighbor Algorithms. CoRR abs/1810.02814 (2018)
Coauthor Index
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last updated on 2024-05-14 22:50 CEST by the dblp team
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