Yuanzhi Li
Yuanzhi Li
Assistant Professor at CMU
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
A convergence theory for deep learning via over-parameterization
Z Allen-Zhu, Y Li, Z Song
International Conference on Machine Learning, 242-252, 2019
6042019
Convergence analysis of two-layer neural networks with relu activation
Y Li, Y Yuan
arXiv preprint arXiv:1705.09886, 2017
4212017
Learning and generalization in overparameterized neural networks, going beyond two layers
Z Allen-Zhu, Y Li, Y Liang
arXiv preprint arXiv:1811.04918, 2018
3972018
A theoretical analysis of NDCG ranking measures
Y Wang, L Wang, Y Li, D He, W Chen, TY Liu
Proceedings of the 26th annual conference on learning theory (COLT 2013) 8, 6, 2013
370*2013
Learning overparameterized neural networks via stochastic gradient descent on structured data
Y Li, Y Liang
arXiv preprint arXiv:1808.01204, 2018
3662018
A latent variable model approach to pmi-based word embeddings
S Arora, Y Li, Y Liang, T Ma, A Risteski
Transactions of the Association for Computational Linguistics 4, 385-399, 2016
323*2016
Algorithmic regularization in over-parameterized matrix sensing and neural networks with quadratic activations
Y Li, T Ma, H Zhang
Conference On Learning Theory, 2-47, 2018
1692018
Linear algebraic structure of word senses, with applications to polysemy
S Arora, Y Li, Y Liang, T Ma, A Risteski
Transactions of the Association for Computational Linguistics 6, 483-495, 2018
1602018
An alternative view: When does SGD escape local minima?
B Kleinberg, Y Li, Y Yuan
International Conference on Machine Learning, 2698-2707, 2018
1572018
LazySVD: Even faster SVD decomposition yet without agonizing pain
Z Allen-Zhu, Y Li
Advances in Neural Information Processing Systems 29, 974-982, 2016
992016
Neon2: Finding local minima via first-order oracles
Z Allen-Zhu, Y Li
arXiv preprint arXiv:1711.06673, 2017
962017
Towards explaining the regularization effect of initial large learning rate in training neural networks
Y Li, C Wei, T Ma
arXiv preprint arXiv:1907.04595, 2019
952019
Algorithmic framework for model-based deep reinforcement learning with theoretical guarantees
Y Luo, H Xu, Y Li, Y Tian, T Darrell, T Ma
arXiv preprint arXiv:1807.03858, 2018
922018
On the convergence rate of training recurrent neural networks
Z Allen-Zhu, Y Li, Z Song
arXiv preprint arXiv:1810.12065, 2018
852018
Much faster algorithms for matrix scaling
Z Allen-Zhu, Y Li, R Oliveira, A Wigderson
2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS …, 2017
792017
First efficient convergence for streaming k-pca: a global, gap-free, and near-optimal rate
Z Allen-Zhu, Y Li
2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS …, 2017
752017
What can ResNet learn efficiently, going beyond kernels?
Z Allen-Zhu, Y Li
arXiv preprint arXiv:1905.10337, 2019
742019
Near-optimal design of experiments via regret minimization
Z Allen-Zhu, Y Li, A Singh, Y Wang
International Conference on Machine Learning, 126-135, 2017
462017
Sparsity, variance and curvature in multi-armed bandits
S Bubeck, M Cohen, Y Li
Algorithmic Learning Theory, 111-127, 2018
452018
An optimal algorithm for bandit convex optimization
E Hazan, Y Li
arXiv preprint arXiv:1603.04350, 2016
442016
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