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Rasmus Kyng
Rasmus Kyng
ETH Zurich
Verified email at kyng.dk - Homepage
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Cited by
Cited by
Year
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
1792014
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
1792014
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
1612016
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
1212016
Algorithms for Lipschitz learning on graphs
R Kyng, A Rao, S Sachdeva, DA Spielman
Conference on Learning Theory, 1190-1223, 2015
762015
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
652017
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
562022
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
522015
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
502019
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
372017
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
322018
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
292019
Hardness results for structured linear systems
R Kyng, P Zhang
SIAM Journal on Computing 49 (4), FOCS17-280-FOCS17-349, 2020
172020
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
172018
Preconditioning in expectation
MB Cohen, R Kyng, JW Pachocki, R Peng, A Rao
arXiv preprint arXiv:1401.6236, 2014
172014
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
132021
Approximate gaussian elimination
R Kyng
PhD thesis. Yale University,, page, 2017
122017
Fast, Provable Algorithms for Isotonic Regression in all -norms
R Kyng, A Rao, S Sachdeva
arXiv preprint arXiv:1507.00710, 2015
112015
Four deviations suffice for rank 1 matrices
R Kyng, K Luh, Z Song
Advances in Mathematics 375, 107366, 2020
102020
Packing LPs are hard to solve accurately, assuming linear equations are hard
R Kyng, D Wang, P Zhang
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020
102020
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