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Lijia Zhou
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Uniform convergence of interpolators: Gaussian width, norm bounds and benign overfitting
F Koehler, L Zhou, DJ Sutherland, N Srebro
Advances in Neural Information Processing Systems 34, 20657-20668, 2021
482021
On uniform convergence and low-norm interpolation learning
L Zhou, DJ Sutherland, N Srebro
Advances in Neural Information Processing Systems 33, 6867-6877, 2020
312020
Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression
L Zhou, F Koehler, DJ Sutherland, N Srebro
arXiv preprint arXiv:2112.04470, 2021
192021
A non-asymptotic moreau envelope theory for high-dimensional generalized linear models
L Zhou, F Koehler, P Sur, DJ Sutherland, N Srebro
Advances in Neural Information Processing Systems 35, 21286-21299, 2022
132022
An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression
L Zhou, JB Simon, G Vardi, N Srebro
arXiv preprint arXiv:2306.13185, 2023
2023
Uniform Convergence with Square-Root Lipschitz Loss
L Zhou, Z Dai, F Koehler, N Srebro
arXiv preprint arXiv:2306.13188, 2023
2023
A Statistical Learning Theory for Models with High Complexity
L Zhou
The University of Chicago, 2023
2023
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