Sledovat
Zhao Song
Zhao Song
Adobe Research
E-mailová adresa ověřena na: ias.edu - Domovská stránka
Název
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
13522019
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
7032018
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
3382017
Solving linear programs in the current matrix multiplication time
MB Cohen, YT Lee, Z Song
Journal of the ACM (JACM) 68, 1--39, 2021
3362021
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
3362019
On the convergence rate of training recurrent neural networks
Z Allen-Zhu, Y Li, Z Song
Neural Information Processing Systems (NeurIPS), 6673-6685, 2019
1792019
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
1402019
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
1402017
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
1392021
Relative error tensor low rank approximation
Z Song, DP Woodruff, P Zhong
30th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 2772-2789, 2019
1182019
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
1162021
Solving Empirical Risk Minimization in the Current Matrix Multiplication Time
YT Lee, Z Song, Q Zhang
Conference on Learning Theory (COLT), 2140-2157, 2019
1142019
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
1092018
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
1082021
InstaHide: Instance-hiding Schemes for Private Distributed Learning
Y Huang, Z Song, K Li, S Arora
37th International Conference on Machine Learning (ICML), 2020
1082020
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
992020
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
952016
An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games and its Applications
H Jiang, YT Lee, Z Song, SC Wong
52nd Annual ACM Symposium on Theory of Computing (STOC), 944-953, 2020
902020
A Faster Interior Point Method for Semidefinite Programming
H Jiang, T Kathuria, YT Lee, S Padmanabhan, Z Song
61st Annual IEEE Symposium on Foundations of Computer Science (FOCS), 2020
892020
Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound
Z Song, X Yang
arXiv preprint arXiv:1906.03593, 2019
872019
Systém momentálně nemůže danou operaci provést. Zkuste to znovu později.
Články 1–20