Wei Hu
Wei Hu
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Fine-grained analysis of optimization and generalization for overparameterized two-layer neural networks
S Arora, SS Du, W Hu, Z Li, R Wang
arXiv preprint arXiv:1901.08584, 2019
2072019
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, 8141-8150, 2019
1732019
A convergence analysis of gradient descent for deep linear neural networks
S Arora, N Cohen, N Golowich, W Hu
arXiv preprint arXiv:1810.02281, 2018
762018
Implicit regularization in deep matrix factorization
S Arora, N Cohen, W Hu, Y Luo
Advances in Neural Information Processing Systems, 7413-7424, 2019
622019
Algorithmic regularization in learning deep homogeneous models: Layers are automatically balanced
SS Du, W Hu, JD Lee
Advances in Neural Information Processing Systems, 384-395, 2018
492018
Combinatorial multi-armed bandit with general reward functions
W Chen, W Hu, F Li, J Li, Y Liu, P Lu
Advances in Neural Information Processing Systems, 1659-1667, 2016
442016
Linear convergence of the primal-dual gradient method for convex-concave saddle point problems without strong convexity
SS Du, W Hu
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
412019
Linear convergence of a frank-wolfe type algorithm over trace-norm balls
Z Allen-Zhu, E Hazan, W Hu, Y Li
Advances in Neural Information Processing Systems, 6191-6200, 2017
272017
New characterizations in turnstile streams with applications
Y Ai, W Hu, Y Li, DP Woodruff
31st Conference on Computational Complexity (CCC 2016), 2016
262016
An analysis of the t-sne algorithm for data visualization
S Arora, W Hu, PK Kothari
arXiv preprint arXiv:1803.01768, 2018
242018
Width provably matters in optimization for deep linear neural networks
SS Du, W Hu
arXiv preprint arXiv:1901.08572, 2019
222019
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
172019
Provable benefit of orthogonal initialization in optimizing deep linear networks
W Hu, L Xiao, J Pennington
arXiv preprint arXiv:2001.05992, 2020
122020
Few-shot learning via learning the representation, provably
SS Du, W Hu, SM Kakade, JD Lee, Q Lei
arXiv preprint arXiv:2002.09434, 2020
102020
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, 14601-14610, 2019
102019
Understanding generalization of deep neural networks trained with noisy labels
W Hu, Z Li, D Yu
arXiv preprint arXiv:1905.11368, 2019
62019
Simple and effective regularization methods for training on noisily labeled data with generalization guarantee
W Hu, Z Li, D Yu
arXiv preprint arXiv:1905.11368, 2019
52019
Accurate and Efficient Indoor Location by Dynamic Warping in Sequence-Type Radio-Map
X Ye, Y Wang, Y Guo, W Hu, D Li
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018
52018
Online improper learning with an approximation oracle
E Hazan, W Hu, Y Li, Z Li
Advances in Neural Information Processing Systems, 5652-5660, 2018
32018
Sequence-type fingerprinting for indoor localization
W Hu, Y Wang, L Song
Int. Conf. on Indoor Positioning and Indoor Navigation (IPIN), Banff …, 2015
22015
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