Vladimir Braverman
Vladimir Braverman
Victor E. Cameron Professor of Computer Science, Rice University
Verified email at - Homepage
Cited by
Cited by
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
Methods for effective processing of time series
G Shaked, V Braverman, V Belyaev, G Rubin, M Sadetsky
US Patent 9,047,349, 2015
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
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
Optimal sampling from sliding windows
V Braverman, R Ostrovsky, C Zaniolo
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on …, 2009
Communication-efficient distributed SGD with sketching
N Ivkin, D Rothchild, E Ullah, I Stoica, R Arora
Advances in Neural Information Processing Systems 32, 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
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
FAST 19, 143-157, 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
Smooth histograms for sliding windows
V Braverman, R Ostrovsky
48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), 283-293, 2007
Zero-one frequency laws
V Braverman, R Ostrovsky
Proceedings of the forty-second ACM symposium on Theory of computing, 281-290, 2010
ASAP: Fast, Approximate Graph Pattern Mining at Scale.
AP Iyer, Z Liu, X Jin, S Venkataraman, V Braverman, I Stoica
OSDI 18, 745-761, 2018
How hard is counting triangles in the streaming model?
V Braverman, R Ostrovsky, D Vilenchik
Automata, Languages, and Programming: 40th International Colloquium, ICALP …, 2013
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
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
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, ...
USENIX Security Symposium, 3829-3846, 2021
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
Data-independent neural pruning via coresets
B Mussay, M Osadchy, V Braverman, S Zhou, D Feldman
arXiv preprint arXiv:1907.04018, 2019
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
Clustering high dimensional dynamic data streams
V Braverman, G Frahling, H Lang, C Sohler, LF Yang
International Conference on Machine Learning, 576-585, 2017
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