Vladimir Braverman

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Zaoxing LiuAssistant Professor of Computer Science, University of MarylandPatvirtintas el. paštas cs.umd.edu
Nikita IvkinAmazon.comPatvirtintas el. paštas amazon.com
Rafail OstrovskyNorman E. Friedman Chair in Knowledge Sciences, Distinguished Prof. of CS & MATHPatvirtintas el. paštas cs.ucla.edu
Jingfeng WuUniversity of California, BerkeleyPatvirtintas el. paštas berkeley.edu
Samson ZhouTexas A&M UniversityPatvirtintas el. paštas alum.mit.edu
Lin F. Yang (杨林)Assistant Professor, Department of Electrical and Computer Engineering @ UCLAPatvirtintas el. paštas ee.ucla.edu
Xin JinPeking UniversityPatvirtintas el. paštas pku.edu.cn
Vyas SekarTan Family Chair in Electrical and Computer Engineering, Carnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Robert KrauthgamerWeizmann Institute of SciencePatvirtintas el. paštas weizmann.ac.il
Ion StoicaProfessor of Computer Science, UC BerkeleyPatvirtintas el. paštas cs.berkeley.edu
Dan FeldmanUniversity of HaifaPatvirtintas el. paštas csail.mit.edu
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Raman AroraDepartment of Computer Science, Johns Hopkins UniversityPatvirtintas el. paštas cs.jhu.edu
Difan ZouThe University of Hong KongPatvirtintas el. paštas cs.hku.hk
Quanquan GuAssociate Professor of Computer Science, UCLAPatvirtintas el. paštas cs.ucla.edu
Enayat UllahResearch Scientist, MetaPatvirtintas el. paštas jhu.edu
Michael A. Jacobs, Ph.D., DABRUT-Health and (Adjunct) The Johns Hopkins University School of MedicinePatvirtintas el. paštas mri.jhu.edu
Xuan WuJohns Hopkins UniversityPatvirtintas el. paštas jh.edu
Zhuolong YuMicrosoftPatvirtintas el. paštas microsoft.com
Sham M KakadeHarvard UniversityPatvirtintas el. paštas seas.harvard.edu

Stebėti

Vladimir Braverman

Victor E. Cameron Professor of Computer Science, Rice University

Patvirtintas el. paštas rice.edu - Pagrindinis puslapis

Algorithms Machine Learning Computational Medicine Computer Networks


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	614	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	385	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	213	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	210	2019
Methods for effective processing of time series G Shaked, V Braverman, V Belyaev, G Rubin, M Sadetsky US Patent 9,047,349, 2015	208	2015
New frameworks for offline and streaming coreset constructions V Braverman, D Feldman, H Lang, A Statman, S Zhou arXiv preprint arXiv:1612.00889, 2016	172	2016
{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	170	2019
Optimal sampling from sliding windows V Braverman, R Ostrovsky, C Zaniolo Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on …, 2009	163	2009
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	148	2021
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	105	2011
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	104	2020
Smooth histograms for sliding windows V Braverman, R Ostrovsky 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), 283-293, 2007	100	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	92	2018
Zero-one frequency laws V Braverman, R Ostrovsky Proceedings of the forty-second ACM symposium on Theory of computing, 281-290, 2010	89	2010
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	85	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	82	2020
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	74	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	69	2013
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	64	2020
Data-independent neural pruning via coresets B Mussay, M Osadchy, V Braverman, S Zhou, D Feldman arXiv preprint arXiv:1907.04018, 2019	64	2019

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