Kimon Fountoulakis 个人学术档案

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	总计	2019 年至今
引用	837	614
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i10 指数	21	19

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Michael MahoneyProfessor of Statistics, UC Berkeley在 stat.berkeley.edu 的电子邮件经过验证
Jacek GondzioProfessor of Optimization, School of Mathematics, Edinburgh University在 ed.ac.uk 的电子邮件经过验证
Shenghao YangDavid R. Cheriton School of Computer Science, University of Waterloo在 uwaterloo.ca 的电子邮件经过验证
Aseem BaranwalUniversity of Waterloo在 uwaterloo.ca 的电子邮件经过验证
Julian ShunMIT在 mit.edu 的电子邮件经过验证
Fred RoostaUniversity of Queensland在 uq.edu.au 的电子邮件经过验证
David GleichPurdue University在 purdue.edu 的电子邮件经过验证
Di WangGoogle Research在 eecs.berkeley.edu 的电子邮件经过验证
Ioannis DassiosUniversity College Dublin在 ucd.ie 的电子邮件经过验证
James W DEMMELProfessor of EECS and Mathematics, UC Berkeley在 berkeley.edu 的电子邮件经过验证
Rachael TappendenUniversity of Canterbury在 canterbury.ac.nz 的电子邮件经过验证
Xiang ChengMassachusetts Institute of Technology在 berkeley.edu 的电子邮件经过验证
Petros DrineasProfessor, Computer Science Department, Purdue University在 purdue.edu 的电子邮件经过验证
Abhisek KunduResearch Scientist, Intel Parallel Computing Labs, India在 intel.com 的电子邮件经过验证
Monika HenzingerProfessor of Computer Science, Institute of Science and Technology Austria (ISTA)在 ist.ac.at 的电子邮件经过验证
Satish B Rao在 berkeley.edu 的电子邮件经过验证
Pan LiGeorgia Institute of Technology, Purdue University在 gatech.edu 的电子邮件经过验证
Felix BoruttaLudwig-Maximilians-Universität München在 dbs.ifi.lmu.de 的电子邮件经过验证
Evgeniy FaermanPhD Student, Ludwig-Maximilians-Universität München在 dbs.ifi.lmu.de 的电子邮件经过验证
Artur Back de LucaDavid R. Cheriton School of Computer Science, University of Waterloo在 uwaterloo.ca 的电子邮件经过验证

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Kimon Fountoulakis

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

在 uwaterloo.ca 的电子邮件经过验证 - 首页

Machine Learning on Graphs


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
A second-order method for strongly convex -regularization problems K Fountoulakis, J Gondzio Mathematical Programming 156 (1), 189-219, 2016	93	2016
Matrix-free interior point method for compressed sensing problems K Fountoulakis, J Gondzio, P Zhlobich Mathematical Programming Computation 6, 1-31, 2014	87	2014
Parallel local graph clustering J Shun, F Roosta-Khorasani, K Fountoulakis, MW Mahoney arXiv preprint arXiv:1604.07515, 2016	85	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	78*	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	71	2021
Variational Perspective on Local Graph Clustering K Fountoulakis, F Roosta-Khorasani, J Shun, X Cheng, MW Mahoney arXiv preprint arXiv:1602.01886, 2018	47*	2018
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	43	2017
A flexible coordinate descent method K Fountoulakis, R Tappenden Computational Optimization and Applications 70 (2), 351-394, 2018	38*	2018
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	35*	2016
Graph attention retrospective K Fountoulakis, A Levi, S Yang, A Baranwal, A Jagannath arXiv preprint arXiv:2202.13060, 2022	27	2022
Effects of graph convolutions in multi-layer networks A Baranwal, K Fountoulakis, A Jagannath arXiv preprint arXiv:2204.09297, 2022	26	2022
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	26	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	20	2023
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
Local hyper-flow diffusion K Fountoulakis, P Li, S Yang Advances in neural information processing systems 34, 27683-27694, 2021	17	2021
p-Norm Flow Diffusion for Local Graph Clustering K Fountoulakis, D Wang, S Yang International Conference on Machine Learning, 3222-3232, 2020	17	2020
A short introduction to local graph clustering methods and software K Fountoulakis, DF Gleich, MW Mahoney arXiv preprint arXiv:1810.07324, 2018	13	2018
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	11	2021
Statistical guarantees for local graph clustering W Ha, K Fountoulakis, MW Mahoney Journal of Machine Learning Research 22 (148), 1-54, 2021	11	2021

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