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Richard Peng
Richard Peng
University of Waterloo
Bestätigte E-Mail-Adresse bei uwaterloo.ca
Titel
Zitiert von
Zitiert von
Jahr
Approaching optimality for solving SDD linear systems
I Koutis, GL Miller, R Peng
SIAM Journal on Computing 43 (1), 337-354, 2014
3242014
A nearly-m log n time solver for SDD linear systems
I Koutis, GL Miller, R Peng
Foundations of Computer Science (FOCS), 2011 IEEE 52nd Annual Symposium on …, 2011
2852011
Uniform sampling for matrix approximation
MB Cohen, YT Lee, C Musco, C Musco, R Peng, A Sidford
Proceedings of the 2015 Conference on Innovations in Theoretical Computer …, 2015
2142015
Solving SDD linear systems in nearly mlog1/2n time
MB Cohen, R Kyng, GL Miller, JW Pachocki, R Peng, AB Rao, SC Xu
Proceedings of the forty-sixth annual ACM symposium on Theory of computing …, 2014
203*2014
Efficient triangle counting in large graphs via degree-based vertex partitioning
MN Kolountzakis, GL Miller, R Peng, CE Tsourakakis
Internet Mathematics 8 (1-2), 161-185, 2012
1722012
An efficient parallel solver for SDD linear systems
R Peng, DA Spielman
Proceedings of the forty-sixth annual ACM symposium on Theory of computing …, 2014
1482014
Fully dynamic (1+ e)-approximate matchings
M Gupta, R Peng
2013 IEEE 54th Annual Symposium on Foundations of Computer Science, 548-557, 2013
1432013
Sparsified cholesky and multigrid solvers for connection laplacians
R Kyng, YT Lee, R Peng, S Sachdeva, DA Spielman
Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016
140*2016
Parallel graph decompositions using random shifts
GL Miller, R Peng, SC Xu
Proceedings of the twenty-fifth annual ACM symposium on Parallelism in …, 2013
1172013
Iterative row sampling
M Li, GL Miller, R Peng
2013 IEEE 54th Annual Symposium on Foundations of Computer Science, 127-136, 2013
1152013
Approximate Undirected Maximum Flows in O(mpolylog(n)) Time
R Peng
Proceedings of the twenty-seventh annual ACM-SIAM symposium on Discrete …, 2016
1082016
Scalable large near-clique detection in large-scale networks via sampling
M Mitzenmacher, J Pachocki, R Peng, C Tsourakakis, SC Xu
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
1082015
Partitioning well-clustered graphs: Spectral clustering works!
R Peng, H Sun, L Zanetti
Conference on learning theory, 1423-1455, 2015
1002015
Almost-linear-time algorithms for markov chains and new spectral primitives for directed graphs
MB Cohen, J Kelner, J Peebles, R Peng, AB Rao, A Sidford, A Vladu
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017
942017
Lp Row Sampling by Lewis Weights
MB Cohen, R Peng
Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015
922015
Faster spectral sparsification and numerical algorithms for SDD matrices
I Koutis, A Levin, R Peng
arXiv preprint arXiv:1209.5821, 2012
88*2012
Improved parallel algorithms for spanners and hopsets
GL Miller, R Peng, A Vladu, SC Xu
Proceedings of the 27th ACM Symposium on Parallelism in Algorithms and …, 2015
842015
A deterministic algorithm for balanced cut with applications to dynamic connectivity, flows, and beyond
J Chuzhoy, Y Gao, J Li, D Nanongkai, R Peng, T Saranurak
2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS …, 2020
812020
Bipartite matching in nearly-linear time on moderately dense graphs
J van den Brand, YT Lee, D Nanongkai, R Peng, T Saranurak, A Sidford, ...
2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS …, 2020
792020
Near linear-work parallel SDD solvers, low-diameter decomposition, and low-stretch subgraphs
GE Blelloch, A Gupta, I Koutis, GL Miller, R Peng, K Tangwongsan
Proceedings of the twenty-third annual ACM symposium on Parallelism in …, 2011
762011
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