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Rasmus Kyng
Rasmus Kyng
ETH Zurich
Verified email at kyng.dk - Homepage
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Cited by
Year
Maximum Flow and Minimum-Cost Flow in Almost-Linear Time
S Chen, Li and Kyng, Rasmus and Liu, Yang P. and Peng, Richard and Gutenberg ...
2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS), 2022
2492022
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
2202014
Approximate gaussian elimination for laplacians-fast, sparse, and simple
R Kyng, S Sachdeva
2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS …, 2016
2002016
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
1522016
Algorithms for Lipschitz learning on graphs
R Kyng, A Rao, S Sachdeva, DA Spielman
Conference on Learning Theory, 1190-1223, 2015
912015
Sampling random spanning trees faster than matrix multiplication
D Durfee, R Kyng, J Peebles, AB Rao, S Sachdeva
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017
842017
Iterative Refinement for p-norm Regression
D Adil, R Kyng, R Peng, S Sachdeva
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019
742019
Fast, provable algorithms for isotonic regression in all l_p-norms
R Kyng, A Rao, S Sachdeva
Advances in neural information processing systems 28, 2015
582015
Solving directed Laplacian systems in nearly-linear time through sparse LU factorizations
MB Cohen, J Kelner, R Kyng, J Peebles, R Peng, AB Rao, A Sidford
2018 IEEE 59th annual symposium on foundations of computer science (FOCS …, 2018
522018
Flows in almost linear time via adaptive preconditioning
R Kyng, R Peng, S Sachdeva, D Wang
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing …, 2019
442019
A framework for analyzing resparsification algorithms
R Kyng, J Pachocki, R Peng, S Sachdeva
Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017
382017
A matrix chernoff bound for strongly rayleigh distributions and spectral sparsifiers from a few random spanning trees
R Kyng, Z Song
2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018
282018
A deterministic almost-linear time algorithm for minimum-cost flow
J Van Den Brand, L Chen, R Peng, R Kyng, YP Liu, MP Gutenberg, ...
2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS …, 2023
272023
Hardness results for structured linear systems
R Kyng, P Zhang
SIAM Journal on Computing 49 (4), FOCS17-280-FOCS17-349, 2020
202020
Preconditioning in expectation
MB Cohen, R Kyng, JW Pachocki, R Peng, A Rao
arXiv preprint arXiv:1401.6236, 2014
192014
Almost-linear-time Weighted -norm Solvers in Slightly Dense Graphs via Sparsification
D Adil, B Bullins, R Kyng, S Sachdeva
48th International Colloquium on Automata, Languages, and Programming (ICALP …, 2021
172021
Four deviations suffice for rank 1 matrices
R Kyng, K Luh, Z Song
Advances in Mathematics 375, 107366, 2020
162020
Approximate gaussian elimination
R Kyng
PhD thesis. Yale University,, page, 2017
152017
Fast, Provable Algorithms for Isotonic Regression in all -norms
R Kyng, A Rao, S Sachdeva
arXiv preprint arXiv:1507.00710, 2015
122015
Maintaining expander decompositions via sparse cuts
Y Hua, R Kyng, MP Gutenberg, Z Wu
Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2023
102023
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