Zhao Song

Cytowane przez

	Wszystkie	Od 2020
Cytowania	11570	10605
h-indeks	50	47
i10-indeks	158	150

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Współautorzy

Zhenmei ShiSenior Research Scientist at MongoDB + Voyage AI; PhD from University of Wisconsin–MadisonZweryfikowany adres z cs.wisc.edu
Yingyu LiangUW-MadisonZweryfikowany adres z cs.wisc.edu
Lichen ZhangMITZweryfikowany adres z mit.edu
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityZweryfikowany adres z cs.cmu.edu
Ruizhe ZhangSimons Institute for the Theory of Computing, UC BerkeleyZweryfikowany adres z utexas.edu
Yin Tat LeePaul G. Allen School of Computer Science & Engineering, University of WashingtonZweryfikowany adres z uw.edu
Junze YinRice UniversityZweryfikowany adres z bu.edu
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonZweryfikowany adres z cs.utexas.edu
Yichuan DengPh.D. Student, University of WashingtonZweryfikowany adres z cs.washington.edu
Peilin ZhongGoogle ResearchZweryfikowany adres z google.com
Yeqi GaoTsinghua UniversityZweryfikowany adres z mails.tsinghua.edu.cn
Danyang ZhuoDuke UniversityZweryfikowany adres z duke.edu
Tianyi ZhouUniversity of Southern CaliforniaZweryfikowany adres z usc.edu
Beidi ChenCarnegie Mellon UniversityZweryfikowany adres z andrew.cmu.edu
Sanjeev AroraProfessor of Computer Science, Princeton UniversityZweryfikowany adres z princeton.edu
Anshumali ShrivastavaRice University, ThirdAI Corp.Zweryfikowany adres z rice.edu
Zhaozhuo XuStevens Institute of TechnologyZweryfikowany adres z stevens.edu
Josh AlmanColumbia UniversityZweryfikowany adres z mit.edu
Lianke QinUC Santa BarbaraZweryfikowany adres z ucsb.edu
Shunhua JiangColumbia UniversityZweryfikowany adres z columbia.edu

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Zhao Song

Simons Institute for the Theory of Computing, UC Berkeley

Zweryfikowany adres z ias.edu - Strona główna

Theory


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	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	1738	2019
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	837	2018
Solving linear programs in the current matrix multiplication time MB Cohen, YT Lee, Z Song Journal of the ACM (JACM) 68, 1--39, 2021	459	2021
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	459	2019
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	371	2017
H O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models Z Zhang, Y Sheng, T Zhou, T Chen, L Zheng, R Cai, Z Song, Y Tian, C Ré, ... NeurIPS 2023, 2023	346	2023
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	320	2021
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time Z Liu, J Wang, T Dao, T Zhou, B Yuan, Z Song, A Shrivastava, C Zhang, ... ICML 2023, 2023	280	2023
On the convergence rate of training recurrent neural networks Z Allen-Zhu, Y Li, Z Song Neural Information Processing Systems (NeurIPS), 6673-6685, 2019	216	2019
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	188	2019
InstaHide: Instance-hiding Schemes for Private Distributed Learning Y Huang, Z Song, K Li, S Arora 37th International Conference on Machine Learning (ICML), 2020	172	2020
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	164	2020
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	157	2017
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	156	2021
Solving Empirical Risk Minimization in the Current Matrix Multiplication Time YT Lee, Z Song, Q Zhang Conference on Learning Theory (COLT), 2140-2157, 2019	149	2019
Scatterbrain: Unifying Sparse and Low-rank Attention Approximation B Chen, T Dao, E Winsor, Z Song, A Rudra, C Ré NeurIPS 2021, 2021	146*	2021
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	137	2020
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	136	2021
Relative error tensor low rank approximation Z Song, DP Woodruff, P Zhong 30th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 2772-2789, 2019	136	2019
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	129	2020

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