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2020 – today
- 2024
[c8]Lijia Zhou, James B. Simon, Gal Vardi, Nathan Srebro:
An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression. ICLR 2024- 2023
- [c7]Lijia Zhou, Zhen Dai, Frederic Koehler, Nati Srebro:
Uniform Convergence with Square-Root Lipschitz Loss. NeurIPS 2023 - [i6]Lijia Zhou, James B. Simon, Gal Vardi, Nathan Srebro:
An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression. CoRR abs/2306.13185 (2023) - [i5]Lijia Zhou, Zhen Dai, Frederic Koehler, Nathan Srebro:
Uniform Convergence with Square-Root Lipschitz Loss. CoRR abs/2306.13188 (2023) - 2022
- [c6]Lijia Zhou, Frederic Koehler, Pragya Sur, Danica J. Sutherland, Nati Srebro:
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models. NeurIPS 2022 - [i4]Lijia Zhou
, Frederic Koehler, Pragya Sur, Danica J. Sutherland, Nathan Srebro:
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models. CoRR abs/2210.12082 (2022) - 2021
- [c5]Frederic Koehler, Lijia Zhou, Danica J. Sutherland, Nathan Srebro:
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting. NeurIPS 2021: 20657-20668 - [i3]Frederic Koehler, Lijia Zhou, Danica J. Sutherland, Nathan Srebro:
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and Benign Overfitting. CoRR abs/2106.09276 (2021) - [i2]Lijia Zhou, Frederic Koehler, Danica J. Sutherland, Nathan Srebro:
Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression. CoRR abs/2112.04470 (2021) - 2020
- [c4]Lijia Zhou, Danica J. Sutherland, Nati Srebro:
On Uniform Convergence and Low-Norm Interpolation Learning. NeurIPS 2020 - [i1]Lijia Zhou, Danica J. Sutherland, Nathan Srebro:
On Uniform Convergence and Low-Norm Interpolation Learning. CoRR abs/2006.05942 (2020)
2010 – 2019
- 2019
- [c3]Huawei Zhai, Licheng Cui, Weishi Zhang, Lijia Zhou, Xiuguo Zhang:
Designing and Developing High-Confidence Petroleum Extraction Cyber-Physical System Using the Model-Driven Architecture. ICPADS 2019: 975-978 - 2018
- [j2]Guanlei Xu, Xiaotong Wang, Lijia Zhou, Xiaogang Xu:
Image decomposition and texture analysis via combined bi-dimensional Bedrosian's principles. IET Image Process. 12(2): 262-273 (2018) - 2017
- [c2]Guanlei Xu, Xiaotong Wang, Xiaogang Xu, Lijia Zhou:
Lazy Recoloring. ICIG (3) 2017: 214-230 - 2013
- [j1]Guanlei Xu, Xiaotong Wang, Lijia Zhou, Xiaogang Xu:
New inequalities on sparse representation in pairs of bases. IET Signal Process. 7(8): 674-683 (2013)
1990 – 1999
- 1997
- [c1]Lijia Zhou, Stan Franklin:
Modeling an Environment: Agents in Character Feature Extraction. Agents 1997: 178-184
Coauthor Index
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