Pavel Kolev

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Citations	228	216
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Kurt MehlhornProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusVerified email at mpi-inf.mpg.de
Andreas KarrenbauerSenior Researcher, Max Planck Institute for Informatics, Saarland Informatics Campus, SaarbruckenVerified email at mpi-inf.mpg.de
Karl BringmannProfessor in Computer Science, Saarland UniversityVerified email at cs.uni-saarland.de
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Vincenzo BonifaciAssociate Professor, Università Roma TreVerified email at uniroma3.it
Euiwoong LeeUniversity of MichiganVerified email at umich.edu
Gorav JindalMax Planck Institute for Informatics Verified email at mpi-inf.mpg.de
Richard PengUniversity of WaterlooVerified email at uwaterloo.ca
Saurabh SawlaniSoundHound Inc.Verified email at soundhound.com
Ruben BeckerCa' Foscari University of VeniceVerified email at unive.it

Pavel Kolev

Ph.D. Student, Max-Planck-Institut für Informatik

Verified email at mpi-inf.mpg.de - Homepage

Randomized Numerical Linear Algebra Spectral Graph Theory Machine Learning


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Secretary and online matching problems with machine learned advice A Antoniadis, T Gouleakis, P Kleer, P Kolev Advances in Neural Information Processing Systems 33, 7933-7944, 2020	75	2020
A PTAS for ℓ_p-Low Rank Approximation F Ban, V Bhattiprolu, K Bringmann, P Kolev, E Lee, DP Woodruff Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019	49	2019
Approximate Spectral Clustering: Efficiency and Guarantees P Kolev, K Mehlhorn arXiv preprint arXiv:1509.09188, 2015	20	2015
Density Independent Algorithms for Sparsifying -Step Random Walks G Jindal, P Kolev, R Peng, S Sawlani arXiv preprint arXiv:1702.06110, 2017	18	2017
Approximation Algorithms for -Low Rank Approximation K Bringmann, P Kolev, D Woodruff Advances in neural information processing systems 30, 2017	16	2017
Two results on slime mold computations R Becker, V Bonifaci, A Karrenbauer, P Kolev, K Mehlhorn Theoretical Computer Science 773, 79-106, 2019	13	2019
Convergence of the non-uniform Physarum dynamics A Karrenbauer, P Kolev, K Mehlhorn Theoretical Computer Science 816, 260-269, 2020	9	2020
An efficient parallel algorithm for spectral sparsification of laplacian and sddm matrix polynomials G Jindal, P Kolev arXiv preprint arXiv:1507.07497, 2015	9*	2015
Physarum-inspired multi-commodity flow dynamics V Bonifaci, E Facca, F Folz, A Karrenbauer, P Kolev, K Mehlhorn, G Morigi, ... Theoretical Computer Science 920, 1-20, 2022	7	2022
Convergence of the non-uniform directed Physarum model E Facca, A Karrenbauer, P Kolev, K Mehlhorn Theoretical Computer Science 816, 184-194, 2020	6	2020
Physarum Multi-Commodity Flow Dynamics V Bonifaci, E Facca, F Folz, A Karrenbauer, P Kolev, K Mehlhorn, G Morigi, ... arXiv preprint arXiv:2009.01498, 2020	4	2020
Dirichlet eigenvalues, local random walks, and analyzing clusters in graphs P Kolev, H Sun Algorithms and Computation: 25th International Symposium, ISAAC 2014, Jeonju …, 2014	2	2014
Algorithmic Results for Clustering and Refined Physarum Analysis P Kolev Saarländische Universitäts-und Landesbibliothek, 2018		2018

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