Vladimir Braverman

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Citations	2995	2542
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Rafail OstrovskyNorman E. Friedman Distinguished Professor of Computer Science and MathematicsVerified email at cs.ucla.edu
Zaoxing LiuAssistant Professor, Boston UniversityVerified email at bu.edu
Nikita IvkinAmazon.comVerified email at amazon.com
Lin F. Yang (杨林)Assistant Professor, Department of Electrical and Computer Engineering @ UCLAVerified email at ee.ucla.edu
Samson ZhouUC Berkeley and Rice UniversityVerified email at alum.mit.edu
Jingfeng WuJohns Hopkins UniversityVerified email at jhu.edu
Vyas SekarTan Family Chair in Electrical and Computer Engineering, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Xin JinPeking UniversityVerified email at pku.edu.cn
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Dan FeldmanUniversity of HaifaVerified email at csail.mit.edu
Robert KrauthgamerWeizmann Institute of ScienceVerified email at weizmann.ac.il
Raman AroraDepartment of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Enayat UllahJohns Hopkins UniversityVerified email at jhu.edu
Daniel RothchildUC BerkeleyVerified email at berkeley.edu
Ran Ben BasatLecturer (Assistant Professor) of Computer Science, University College LondonVerified email at cs.ucl.ac.uk
Gil EinzigerBen Gurion University of the NegevVerified email at bgu.ac.il
Roy FriedmanProfessor of Computer Science, TechnionVerified email at cs.technion.ac.il
Zhuolong YuJohns Hopkins UniversityVerified email at jh.edu
Adiel StatmanElbit SystemsVerified email at elbitsystems.com

Vladimir Braverman

Associate Professor of Computer Science, Johns Hopkins University

Verified email at cs.jhu.edu - Homepage

Algorithms Machine Learning Computational Medicine Computer Networks


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One sketch to rule them all: Rethinking network flow monitoring with univmon Z Liu, A Manousis, G Vorsanger, V Sekar, V Braverman Proceedings of the 2016 ACM SIGCOMM Conference, 101-114, 2016	425	2016
Methods for effective processing of time series G Shaked, V Braverman, V Belyaev, G Rubin, M Sadetsky US Patent 9,047,349, 2015	200	2015
Optimal sampling from sliding windows V Braverman, R Ostrovsky, C Zaniolo Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on …, 2009	145	2009
Fetchsgd: Communication-efficient federated learning with sketching D Rothchild, A Panda, E Ullah, N Ivkin, I Stoica, V Braverman, J Gonzalez, ... International Conference on Machine Learning, 8253-8265, 2020	131	2020
New frameworks for offline and streaming coreset constructions V Braverman, D Feldman, H Lang, A Statman, S Zhou arXiv preprint arXiv:1612.00889, 2016	126	2016
Nitrosketch: Robust and general sketch-based monitoring in software switches Z Liu, R Ben-Basat, G Einziger, Y Kassner, V Braverman, R Friedman, ... Proceedings of the ACM Special Interest Group on Data Communication, 334-350, 2019	124	2019
Communication-efficient distributed SGD with sketching N Ivkin, D Rothchild, E Ullah, I Stoica, R Arora Advances in Neural Information Processing Systems 32, 2019	121	2019
{DistCache}: Provable Load Balancing for {Large-Scale} Storage Systems with Distributed Caching Z Liu, Z Bai, Z Liu, X Li, C Kim, V Braverman, X Jin, I Stoica 17th USENIX Conference on File and Storage Technologies (FAST 19), 143-157, 2019	101	2019
Streaming k-means on Well-Clusterable Data V Braverman, A Meyerson, R Ostrovsky, A Roytman, M Shindler, B Tagiku Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete …, 2011	95	2011
Smooth histograms for sliding windows V Braverman, R Ostrovsky 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), 283-293, 2007	87	2007
Zero-one frequency laws V Braverman, R Ostrovsky Proceedings of the forty-second ACM symposium on Theory of computing, 281-290, 2010	72	2010
BPTree: An ℓ₂ Heavy Hitters Algorithm Using Constant Memory V Braverman, SR Chestnut, N Ivkin, J Nelson, Z Wang, DP Woodruff Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2017	63	2017
How hard is counting triangles in the streaming model? V Braverman, R Ostrovsky, D Vilenchik International Colloquium on Automata, Languages, and Programming, 244-254, 2013	61	2013
{ASAP}: Fast, approximate graph pattern mining at scale AP Iyer, Z Liu, X Jin, S Venkataraman, V Braverman, I Stoica 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2018	58	2018
Beating countsketch for heavy hitters in insertion streams V Braverman, SR Chestnut, N Ivkin, DP Woodruff Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016	50	2016
On the noisy gradient descent that generalizes as sgd J Wu, W Hu, H Xiong, J Huan, V Braverman, Z Zhu International Conference on Machine Learning, 10367-10376, 2020	41	2020
Clustering problems on sliding windows V Braverman, H Lang, K Levin, M Monemizadeh Proceedings of the twenty-seventh annual ACM-SIAM symposium on Discrete …, 2016	41	2016
Clustering high dimensional dynamic data streams V Braverman, G Frahling, H Lang, C Sohler, LF Yang International Conference on Machine Learning, 576-585, 2017	37	2017
Near optimal linear algebra in the online and sliding window models V Braverman, P Drineas, C Musco, C Musco, J Upadhyay, DP Woodruff, ... 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS …, 2020	36*	2020
Jaqen: A {High-Performance}{Switch-Native} Approach for Detecting and Mitigating Volumetric {DDoS} Attacks with Programmable Switches Z Liu, H Namkung, G Nikolaidis, J Lee, C Kim, X Jin, V Braverman, M Yu, ... 30th USENIX Security Symposium (USENIX Security 21), 3829-3846, 2021	35	2021

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