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Zhao Song
Zhao Song
Adobe Research
E-mailová adresa ověřena na: ias.edu - Domovská stránka
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Citace
Citace
Rok
A convergence theory for deep learning via over-parameterization
Z Allen-Zhu, Y Li, Z Song
36th International Conference on Machine Learning (ICML), 242-252, 2019
10692019
Towards fast computation of certified robustness for relu networks
TW Weng, H Zhang, H Chen, Z Song, CJ Hsieh, D Boning, IS Dhillon, ...
35th International Conference on Machine Learning (ICML), 5273-5282, 2018
5872018
Recovery guarantees for one-hidden-layer neural networks
K Zhong, Z Song, P Jain, PL Bartlett, IS Dhillon
34th International Conference on Machine Learning (ICML), 4140-4149, 2017
3062017
Solving linear programs in the current matrix multiplication time
MB Cohen, YT Lee, Z Song
Journal of the ACM (JACM) 68, 1--39, 2021
2332021
Solving linear programs in the current matrix multiplication time
MB Cohen, YT Lee, Z Song
51th Annual ACM Symposium on Theory of Computing (STOC), 938-942, 2019
2332019
On the convergence rate of training recurrent neural networks
Z Allen-Zhu, Y Li, Z Song
Neural Information Processing Systems (NeurIPS), 6673-6685, 2019
1482019
The limitations of adversarial training and the blind-spot attack
H Zhang, H Chen, Z Song, D Boning, IS Dhillon, CJ Hsieh
The 7th International Conference on Learning Representations (ICLR), 2019
1182019
Low rank approximation with entrywise -norm error
Z Song, DP Woodruff, P Zhong
49th Annual ACM Symposium on Theory of Computing (STOC), 688-701, 2017
1092017
Parallel graph connectivity in log diameter rounds
A Andoni, Z Song, C Stein, Z Wang, P Zhong
59th Annual IEEE Symposium on Foundations of Computer Science (FOCS), 674-685, 2018
882018
Relative error tensor low rank approximation
Z Song, DP Woodruff, P Zhong
30th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 2772-2789, 2019
832019
Minimum Cost Flows, MDPs, and -Regression in Nearly Linear Time for Dense Instances
J van den Brand, Y Tat Lee, YP Liu, T Saranurak, A Sidford, Z Song, ...
53rd Annual ACM Symposium on Theory of Computing (STOC), 2021
822021
Faster dynamic matrix inverse for faster lps
S Jiang, Z Song, O Weinstein, H Zhang
53rd Annual ACM Symposium on Theory of Computing (STOC), 2021
772021
InstaHide: Instance-hiding Schemes for Private Distributed Learning
Y Huang, Z Song, K Li, S Arora
37th International Conference on Machine Learning (ICML), 2020
732020
Solving Empirical Risk Minimization in the Current Matrix Multiplication Time
YT Lee, Z Song, Q Zhang
Conference on Learning Theory (COLT), 2140-2157, 2019
732019
Weighted low rank approximations with provable guarantees
I Razenshteyn, Z Song, DP Woodruff
48th annual ACM symposium on Theory of Computing (STOC), 250-263, 2016
732016
Bipartite Matching in Nearly-linear Time on Moderately Dense Graphs
J van den Brand, YT Lee, D Nanongkai, R Peng, T Saranurak, A Sidford, ...
61st Annual IEEE Symposium on Foundations of Computer Science (FOCS), 2020
722020
Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound
Z Song, X Yang
arXiv preprint arXiv:1906.03593, 2019
682019
Solving tall dense linear programs in nearly linear time
J van den Brand, Y Tat Lee, A Sidford, Z Song
52nd Annual ACM Symposium on Theory of Computing (STOC), 775-788, 2020
642020
Learning non-overlapping convolutional neural networks with multiple kernels
K Zhong, Z Song, IS Dhillon
arXiv preprint arXiv:1711.03440, 2017
642017
Evaluating gradient inversion attacks and defenses in federated learning
Y Huang, S Gupta, Z Song, K Li, S Arora
Advances in Neural Information Processing Systems 34, 7232-7241, 2021
562021
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Články 1–20