Vladimir Braverman

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Nikita IvkinAmazon.comAdresse e-mail validée de amazon.com
Zaoxing LiuAssistant Professor of Computer Science, University of MarylandAdresse e-mail validée de cs.umd.edu
Rafail OstrovskyNorman E. Friedman Chair in Knowledge Sciences, Distinguished Prof. of CS & MATHAdresse e-mail validée de cs.ucla.edu
Jingfeng WuUniversity of California, BerkeleyAdresse e-mail validée de berkeley.edu
Samson ZhouTexas A&M UniversityAdresse e-mail validée de alum.mit.edu
Lin F. Yang (杨林)Assistant Professor, Department of Electrical and Computer Engineering @ UCLAAdresse e-mail validée de ee.ucla.edu
Xin JinPeking UniversityAdresse e-mail validée de pku.edu.cn
Vyas SekarTan Family Chair in Electrical and Computer Engineering, Carnegie Mellon UniversityAdresse e-mail validée de andrew.cmu.edu
Robert KrauthgamerWeizmann Institute of ScienceAdresse e-mail validée de weizmann.ac.il
Ion StoicaProfessor of Computer Science, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Dan FeldmanUniversity of HaifaAdresse e-mail validée de csail.mit.edu
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Raman AroraDepartment of Computer Science, Johns Hopkins UniversityAdresse e-mail validée de cs.jhu.edu
Difan ZouThe University of Hong KongAdresse e-mail validée de cs.hku.hk
Quanquan GuAssociate Professor of Computer Science, UCLAAdresse e-mail validée de cs.ucla.edu
Michael A. Jacobs, Ph.D., DABRUT-Health and (Adjunct) The Johns Hopkins University School of Medicine and CS-Rice UniversityAdresse e-mail validée de mri.jhu.edu
Enayat UllahResearch Scientist, MetaAdresse e-mail validée de jhu.edu
Xuan WuJohns Hopkins UniversityAdresse e-mail validée de jh.edu
Vishwa ParekhUTHealth HoustonAdresse e-mail validée de uth.tmc.edu
Zhuolong YuMicrosoftAdresse e-mail validée de microsoft.com

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Vladimir Braverman

Professor of Computer Science, Johns Hopkins University; Google Research; Adjunct Professor, Rice U.

Adresse e-mail validée de cs.jhu.edu - Page d'accueil

Machine Learning Algorithms Health Computer Systems


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	648	2016
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	440	2020
Communication-efficient distributed SGD with sketching N Ivkin, D Rothchild, E Ullah, I Stoica, R Arora Advances in Neural Information Processing Systems 32, 2019	235	2019
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	231	2019
Methods for effective processing of time series G Shaked, V Braverman, V Belyaev, G Rubin, M Sadetsky US Patent 9,047,349, 2015	213	2015
{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	186	2019
New frameworks for offline and streaming coreset constructions V Braverman, D Feldman, H Lang, A Statman, S Zhou arXiv preprint arXiv:1612.00889, 2016	175	2016
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	174	2021
Optimal sampling from sliding windows V Braverman, R Ostrovsky, C Zaniolo Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on …, 2009	168	2009
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	115	2020
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	108	2011
Smooth histograms for sliding windows V Braverman, R Ostrovsky 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), 283-293, 2007	101	2007
{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	100	2018
Programmable packet scheduling with a single queue Z Yu, C Hu, J Wu, X Sun, V Braverman, M Chowdhury, Z Liu, X Jin Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 179-193, 2021	96	2021
Netlock: Fast, centralized lock management using programmable switches Z Yu, Y Zhang, V Braverman, M Chowdhury, X Jin Proceedings of the Annual conference of the ACM Special Interest Group on …, 2020	90	2020
Zero-one frequency laws V Braverman, R Ostrovsky Proceedings of the forty-second ACM symposium on Theory of computing, 281-290, 2010	90	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	75	2017
How hard is counting triangles in the streaming model? V Braverman, R Ostrovsky, D Vilenchik Automata, Languages, and Programming: 40th International Colloquium, ICALP …, 2013	72	2013
Benign overfitting of constant-stepsize sgd for linear regression D Zou, J Wu, V Braverman, Q Gu, S Kakade Conference on Learning Theory, 4633-4635, 2021	69	2021
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	69	2020

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