Vladimir Braverman
机构: Victor E. Cameron Professor of Computer Science, Rice University
主页: rice.edu
每年引用次数
引用次数
引用: 4,788
H-指数: 34
I10-指数 : 82
出版物: 188
minicore: Fast scRNA-seq clustering with various distances
Langmead B , Hicks Sc , Baker Dn , Dyjack N
bioRxiv
2021
Convex hull for intersections of random lines
Vladimir Braverman , Daniel Berend
Discrete Mathematics & Theoretical Computer Science 39 -48
2
2005
Streaming k-means on well-clusterable data
Vladimir Braverman , Brian Tagiku , Rafail Ostrovsky , Alan Roytman
symposium on discrete algorithms 26 -40
54
2011
Clustering problems on sliding windows
Vladimir Braverman , Harry Lang , Keith Levin , Morteza Monemizadeh
symposium on discrete algorithms 1374 -1390
18
2016
Sliding Window Algorithms.
Vladimir Braverman
Encyclopedia of Algorithms 2006 -2011
5
2016
An Optimal Algorithm for Large Frequency Moments Using O(n^(1-2/k)) Bits
Vladimir Braverman , Gregory Vorsanger , Charles Seidell , Jonathan Katzman
international workshop and international workshop on approximation randomization and combinatorial optimization algorithms and techniques 544
16
2014
Zero-One Laws for Sliding Windows and Universal Sketches
Vladimir Braverman , Rafail Ostrovsky , Alan Roytman
international workshop and international workshop on approximation, randomization, and combinatorial optimization. algorithms and techniques 573 -590
17
2015
Clustering on Sliding Windows in Polylogarithmic Space.
Vladimir Braverman , Harry Lang , Keith Levin , Morteza Monemizadeh
foundations of software technology and theoretical computer science 45 350 -364
6
2015
Sampling from Dense Streams without Penalty - Improved Bounds for Frequency Moments and Heavy Hitters.
Vladimir Braverman , Gregory Vorsanger
computing and combinatorics conference 13 -24
2014
Towards Fast and Scalable Graph Pattern Mining
Vladimir Braverman , Anand Padmanabha Iyer , Ion Stoica , Zaoxing Liu
usenix conference on hot topics in cloud ccomputing
2018
ASAP: fast, approximate graph pattern mining at scale
Vladimir Braverman , Anand Padmanabha Iyer , Ion Stoica , Zaoxing Liu
operating systems design and implementation 745 -761
35
2018
DistCache: provable load balancing for large-scale storage systems with distributed caching
Vladimir Braverman , Changhoon Kim , Zhenming Liu , Ion Stoica
file and storage technologies 143 -157
113
2019
On Activation Function Coresets for Network Pruning
Vladimir Braverman , Dan Feldman , Samson Zhou , Ben Mussay
2
2019
The Physical Systems Behind Optimization Algorithms
Raman Arora , Lin F. Yang , Tuo Zhao , Vladimir Braverman
neural information processing systems 31 4372 -4381
7
2018
Clustering high dimensional dynamic data streams
Vladimir Braverman , Christian Sohler , Gereon Frahling , Harry Lang
international conference on machine learning 576 -585
8
2017
Coresets for Ordered Weighted Clustering
Vladimir Braverman , Robert Krauthgamer , Shaofeng H.-C. Jiang , Xuan Wu
international conference on machine learning 744 -753
4
2019
Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order
Vladimir Braverman , Robert Krauthgamer , Stephen R. Chestnut , David P. Woodruff
international conference on machine learning 648 -657
7
2018
Data-Independent Neural Pruning via Coresets
Vladimir Braverman , Margarita Osadchy , Dan Feldman , Samson Zhou
arXiv: Learning
41
2019
Streaming Coreset Constructions for M-Estimators.
Vladimir Braverman , Daniela Rus , Harry Lang , Dan Feldman
international workshop and international workshop on approximation, randomization, and combinatorial optimization. algorithms and techniques
1
2019
On the Noisy Gradient Descent that Generalizes as SGD
Jingfeng Wu , Wenqing Hu , Haoyi Xiong , Jun Huan
arXiv: Learning
57
2019