Kimon Fountoulakis

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Michael MahoneyProfessor of Statistics, UC BerkeleyEmail yang diverifikasi di stat.berkeley.edu
Jacek GondzioProfessor of Optimization, School of Mathematics, Edinburgh UniversityEmail yang diverifikasi di ed.ac.uk
Shenghao YangDavid R. Cheriton School of Computer Science, University of WaterlooEmail yang diverifikasi di uwaterloo.ca
Aseem BaranwalUniversity of WaterlooEmail yang diverifikasi di uwaterloo.ca
Julian ShunMITEmail yang diverifikasi di mit.edu
Fred RoostaUniversity of QueenslandEmail yang diverifikasi di uq.edu.au
David GleichPurdue UniversityEmail yang diverifikasi di purdue.edu
Di WangGoogle ResearchEmail yang diverifikasi di eecs.berkeley.edu
Ioannis DassiosUniversity College DublinEmail yang diverifikasi di ucd.ie
James W DEMMELProfessor of EECS and Mathematics, UC BerkeleyEmail yang diverifikasi di berkeley.edu
Rachael TappendenUniversity of CanterburyEmail yang diverifikasi di canterbury.ac.nz
Artur Back de LucaDavid R. Cheriton School of Computer Science, University of WaterlooEmail yang diverifikasi di uwaterloo.ca
Xiang ChengMassachusetts Institute of TechnologyEmail yang diverifikasi di berkeley.edu
Aditya DevarakondaWake Forest UniversityEmail yang diverifikasi di wfu.edu
Monika HenzingerProfessor of Computer Science, Institute of Science and Technology Austria (ISTA)Email yang diverifikasi di ist.ac.at
Satish B RaoEmail yang diverifikasi di berkeley.edu
Petros DrineasProfessor, Computer Science Department, Purdue UniversityEmail yang diverifikasi di purdue.edu
Abhisek KunduResearch Scientist, Intel Parallel Computing Labs, IndiaEmail yang diverifikasi di intel.com
Felix BoruttaLudwig-Maximilians-Universität MünchenEmail yang diverifikasi di dbs.ifi.lmu.de
Evgeniy FaermanPhD Student, Ludwig-Maximilians-Universität MünchenEmail yang diverifikasi di dbs.ifi.lmu.de

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Kimon Fountoulakis

David R. Cheriton School of Computer Science, University of Waterloo

Email yang diverifikasi di uwaterloo.ca - Beranda

Machine Learning on Graphs Machine Learning for Algorithmic Reasoning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Matrix-free interior point method for compressed sensing problems K Fountoulakis, J Gondzio, P Zhlobich Mathematical programming computation 6, 1-31, 2014	94	2014
Parallel local graph clustering J Shun, F Roosta-Khorasani, K Fountoulakis, MW Mahoney arXiv preprint arXiv:1604.07515, 2016	90	2016
A second-order method for strongly convex -regularization problems K Fountoulakis, J Gondzio Mathematical Programming 156 (1), 189-219, 2016	89	2016
A preconditioner for a primal-dual newton conjugate gradient method for compressed sensing problems I Dassios, K Fountoulakis, J Gondzio SIAM Journal on Scientific Computing 37 (6), A2783-A2812, 2015	87*	2015
Graph convolution for semi-supervised classification: Improved linear separability and out-of-distribution generalization A Baranwal, K Fountoulakis, A Jagannath arXiv preprint arXiv:2102.06966, 2021	85	2021
Variational Perspective on Local Graph Clustering K Fountoulakis, F Roosta-Khorasani, J Shun, X Cheng, MW Mahoney arXiv preprint arXiv:1602.01886, 2018	56*	2018
Graph attention retrospective K Fountoulakis, A Levi, S Yang, A Baranwal, A Jagannath arXiv preprint arXiv:2202.13060, 2022	46	2022
Capacity releasing diffusion for speed and locality D Wang, K Fountoulakis, M Henzinger, MW Mahoney, S Rao International Conference on Machine Learning, 3598-3607, 2017	45	2017
A flexible coordinate descent method K Fountoulakis, R Tappenden Computational Optimization and Applications 70 (2), 351-394, 2018	39*	2018
Effects of graph convolutions in multi-layer networks A Baranwal, K Fountoulakis, A Jagannath arXiv preprint arXiv:2204.09297, 2022	37	2022
Performance of first-and second-order methods for\ ell _1-regularized least squares problems K Fountoulakis, J Gondzio Computational Optimization and Applications 65 (3), 605-635, 2016	32*	2016
Lasagne: Locality and structure aware graph node embedding E Faerman, F Borutta, K Fountoulakis, MW Mahoney 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 246-253, 2018	27	2018
An optimization approach to locally-biased graph algorithms K Fountoulakis, DF Gleich, MW Mahoney Proceedings of the IEEE 105 (2), 256-272, 2017	22	2017
Flow-based algorithms for improving clusters: A unifying framework, software, and performance K Fountoulakis, M Liu, DF Gleich, MW Mahoney SIAM Review 65 (1), 59-143, 2023	21	2023
Local hyper-flow diffusion K Fountoulakis, P Li, S Yang Advances in neural information processing systems 34, 27683-27694, 2021	20	2021
Avoiding communication in primal and dual block coordinate descent methods A Devarakonda, K Fountoulakis, J Demmel, MW Mahoney SIAM Journal on Scientific Computing 41 (1), C1-C27, 2019	18	2019
p-Norm Flow Diffusion for Local Graph Clustering K Fountoulakis, D Wang, S Yang International Conference on Machine Learning, 3222-3232, 2020	16	2020
A short introduction to local graph clustering methods and software K Fountoulakis, DF Gleich, MW Mahoney arXiv preprint arXiv:1810.07324, 2018	15	2018
Open Problem: Running time complexity of accelerated -regularized PageRank K Fountoulakis, S Yang Conference on Learning Theory, 5630-5632, 2022	12	2022
Targeted pandemic containment through identifying local contact network bottlenecks S Yang, P Senapati, D Wang, CT Bauch, K Fountoulakis PLoS computational biology 17 (8), e1009351, 2021	12	2021

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