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Vladimir Braverman
Vladimir Braverman
Victor E. Cameron Professor of Computer Science, Rice University
Verified email at rice.edu - Homepage
Title
Cited by
Cited by
Year
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
6342016
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
4232020
Communication-efficient distributed SGD with sketching
N Ivkin, D Rothchild, E Ullah, I Stoica, R Arora
Advances in Neural Information Processing Systems 32, 2019
2262019
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
2252019
Methods for effective processing of time series
G Shaked, V Braverman, V Belyaev, G Rubin, M Sadetsky
US Patent 9,047,349, 2015
2072015
{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
1792019
New frameworks for offline and streaming coreset constructions
V Braverman, D Feldman, H Lang, A Statman, S Zhou
arXiv preprint arXiv:1612.00889, 2016
1752016
Optimal sampling from sliding windows
V Braverman, R Ostrovsky, C Zaniolo
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on …, 2009
1662009
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
1632021
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
1132020
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
1062011
Smooth histograms for sliding windows
V Braverman, R Ostrovsky
48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), 283-293, 2007
1002007
{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
972018
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
922021
Zero-one frequency laws
V Braverman, R Ostrovsky
Proceedings of the forty-second ACM symposium on Theory of computing, 281-290, 2010
892010
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
852020
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
742017
How hard is counting triangles in the streaming model?
V Braverman, R Ostrovsky, D Vilenchik
Automata, Languages, and Programming: 40th International Colloquium, ICALP …, 2013
702013
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
682021
Data-independent neural pruning via coresets
B Mussay, M Osadchy, V Braverman, S Zhou, D Feldman
arXiv preprint arXiv:1907.04018, 2019
682019
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