متابعة
Zhiyuan Li
Zhiyuan Li
Assistant Professor, Toyota Technological Institute at Chicago
بريد إلكتروني تم التحقق منه على ttic.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Fine-grained analysis of optimization and generalization for overparameterized two-layer neural networks‏
S Arora, S Du, W Hu, Z Li, R Wang‏
International Conference on Machine Learning, 322-332, 2019‏
11182019
On exact computation with an infinitely wide neural net‏
S Arora, SS Du, W Hu, Z Li, RR Salakhutdinov, R Wang‏
Advances in neural information processing systems 32, 2019‏
10612019
Towards understanding the role of over-parametrization in generalization of neural networks‏
B Neyshabur, Z Li, S Bhojanapalli, Y LeCun, N Srebro‏
arXiv preprint arXiv:1805.12076, 2018‏
6362018
An exponential learning rate schedule for deep learning‏
Z Li, S Arora‏
arXiv preprint arXiv:1910.07454, 2019‏
2432019
Harnessing the power of infinitely wide deep nets on small-data tasks‏
S Arora, SS Du, Z Li, R Salakhutdinov, R Wang, D Yu‏
2042019
Towards resolving the implicit bias of gradient descent for matrix factorization: Greedy low-rank learning‏
Z Li, Y Luo, K Lyu‏
arXiv preprint arXiv:2012.09839, 2020‏
1532020
Enhanced convolutional neural tangent kernels‏
Z Li, R Wang, D Yu, SS Du, W Hu, R Salakhutdinov, S Arora‏
arXiv preprint arXiv:1911.00809, 2019‏
1402019
Theoretical analysis of auto rate-tuning by batch normalization‏
S Arora, Z Li, K Lyu‏
arXiv preprint arXiv:1812.03981, 2018‏
1332018
Learning in games: Robustness of fast convergence‏
DJ Foster, Z Li, T Lykouris, K Sridharan, E Tardos‏
Advances in Neural Information Processing Systems 29, 2016‏
1322016
Sophia: A scalable stochastic second-order optimizer for language model pre-training‏
H Liu, Z Li, D Hall, P Liang, T Ma‏
arXiv preprint arXiv:2305.14342, 2023‏
1252023
Understanding gradient descent on the edge of stability in deep learning‏
S Arora, Z Li, A Panigrahi‏
International Conference on Machine Learning, 948-1024, 2022‏
1162022
What Happens after SGD Reaches Zero Loss?--A Mathematical Framework‏
Z Li, T Wang, S Arora‏
arXiv preprint arXiv:2110.06914, 2021‏
1122021
Simple and effective regularization methods for training on noisily labeled data with generalization guarantee‏
W Hu, Z Li, D Yu‏
International Conference on Learning Representations (ICLR 2020), 2019‏
101*2019
Explaining landscape connectivity of low-cost solutions for multilayer nets‏
R Kuditipudi, X Wang, H Lee, Y Zhang, Z Li, W Hu, R Ge, S Arora‏
Advances in neural information processing systems 32, 2019‏
972019
On the validity of modeling sgd with stochastic differential equations (sdes)‏
Z Li, S Malladi, S Arora‏
Advances in Neural Information Processing Systems 34, 12712-12725, 2021‏
932021
Gradient descent on two-layer nets: Margin maximization and simplicity bias‏
K Lyu, Z Li, R Wang, S Arora‏
Advances in Neural Information Processing Systems 34, 12978-12991, 2021‏
872021
Understanding the generalization benefit of normalization layers: Sharpness reduction‏
K Lyu, Z Li, S Arora‏
Advances in Neural Information Processing Systems 35, 34689-34708, 2022‏
822022
How Does Sharpness-Aware Minimization Minimizes Sharpness?‏
K Wen, T Ma, Z Li‏
The Eleventh International Conference on Learning Representations, 2023‏
812023
Reconciling modern deep learning with traditional optimization analyses: The intrinsic learning rate‏
Z Li, K Lyu, S Arora‏
Advances in Neural Information Processing Systems 33, 14544-14555, 2020‏
782020
Chain of thought empowers transformers to solve inherently serial problems‏
Z Li, H Liu, D Zhou, T Ma‏
arXiv preprint arXiv:2402.12875, 2024‏
772024
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مقالات 1–20