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Yi Zhang
Yi Zhang
post-doc at Microsoft Research Redmond
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
S Arora, R Ge, Y Liang, T Ma, Y Zhang
arXiv preprint arXiv:1703.00573, 2017
6052017
Stronger generalization bounds for deep nets via a compression approach
S Arora, R Ge, B Neyshabur, Y Zhang
International Conference on Machine Learning, 254-263, 2018
5122018
Convolutional neural networks with low-rank regularization
C Tai, T Xiao, Y Zhang, X Wang
arXiv preprint arXiv:1511.06067, 2015
4142015
Deep visual analogy-making
SE Reed, Y Zhang, Y Zhang, H Lee
Advances in neural information processing systems 28, 2015
2872015
Do GANs actually learn the distribution? An empirical study
S Arora, Y Zhang
arXiv:1706.08224, 2017
1702017
Do GANs learn the distribution? some theory and empirics
S Arora, A Risteski, Y Zhang
International Conference on Learning Representations, 2018
1282018
Spectral filtering for general linear dynamical systems
E Hazan, H Lee, K Singh, C Zhang, Y Zhang
Advances in Neural Information Processing Systems 31, 2018
752018
Towards Understanding the Invertibility of Convolutional Neural Networks
CA Gilbert, Y Zhang, K Lee, Y Zhang, H Lee
arXiv preprint arXiv:1705.08664, 2017
642017
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets
R Kuditipudi, X Wang, H Lee, Y Zhang, Z Li, W Hu, S Arora, R Ge
arXiv:1906.06247, 2019
552019
Efficient full-matrix adaptive regularization
N Agarwal, B Bullins, X Chen, E Hazan, K Singh, C Zhang, Y Zhang
International Conference on Machine Learning, 102-110, 2019
382019
Why are convolutional nets more sample-efficient than fully-connected nets?
Z Li, Y Zhang, S Arora
arXiv preprint arXiv:2010.08515, 2020
312020
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality
Y Zhang, O Plevrakis, SS Du, X Li, Z Song, S Arora
arXiv:2002.06668, 2020
282020
Towards provable control for unknown linear dynamical systems
S Arora, E Hazan, H Lee, K Singh, C Zhang, Y Zhang
232018
Not-So-Random Features
B Brian, Z Cyril, Z Yi
arXiv:1710.10230, 2017
18*2017
Calibration, Entropy Rates, and Memory in Language Models
M Braverman, X Chen, SM Kakade, K Narasimhan, C Zhang, Y Zhang
arXiv preprint arXiv:1906.05664, 2019
172019
Theoretical limitations of Encoder-Decoder GAN architectures
S Arora, A Risteski, Y Zhang
arXiv:1711.02651, 2017
172017
No-Regret Prediction in Marginally Stable Systems
U Ghai, H Lee, K Singh, CZ Zhang, Y Zhang
arXiv:2002.02064, 2020
152020
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning
N Saunshi, Y Zhang, M Khodak, S Arora
arXiv:2002.11172, 2020
142020
Unveiling Transformers with LEGO: a synthetic reasoning task
Y Zhang, A Backurs, S Bubeck, R Eldan, S Gunasekar, T Wagner
arXiv preprint arXiv:2206.04301, 2022
72022
Extreme tensoring for low-memory preconditioning
X Chen, N Agarwal, E Hazan, C Zhang, Y Zhang
arXiv preprint arXiv:1902.04620, 2019
72019
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