Seuraa
Kimon Fountoulakis
Kimon Fountoulakis
David R. Cheriton School of Computer Science, University of Waterloo
Vahvistettu sähköpostiosoite verkkotunnuksessa uwaterloo.ca - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
A second-order method for strongly convex ℓ 1 -regularization problems
K Fountoulakis, J Gondzio
Mathematical Programming 156 (1), 189-219, 2016
892016
Parallel local graph clustering
J Shun, F Roosta-Khorasani, K Fountoulakis, MW Mahoney
arXiv preprint arXiv:1604.07515, 2016
782016
Matrix-free interior point method for compressed sensing problems
K Fountoulakis, J Gondzio, P Zhlobich
Mathematical Programming Computation 6 (1), 1-31, 2014
742014
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
69*2015
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
34*2016
Variational Perspective on Local Graph Clustering
K Fountoulakis, F Roosta-Khorasani, J Shun, X Cheng, MW Mahoney
arXiv preprint arXiv:1602.01886, 2018
32*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
312017
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
242018
An optimization approach to locally-biased graph algorithms
K Fountoulakis, DF Gleich, MW Mahoney
Proceedings of the IEEE 105 (2), 256-272, 2017
222017
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
192021
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
152019
p-Norm Flow Diffusion for Local Graph Clustering
K Fountoulakis, D Wang, S Yang
International Conference on Machine Learning, 3222-3232, 2020
102020
Flow-based algorithms for improving clusters: A unifying framework, software, and performance
K Fountoulakis, M Liu, DF Gleich, MW Mahoney
arXiv preprint arXiv:2004.09608, 2020
102020
A randomized rounding algorithm for sparse PCA
K Fountoulakis, A Kundu, EM Kontopoulou, P Drineas
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (3), 1-26, 2017
102017
A short introduction to local graph clustering methods and software
K Fountoulakis, DF Gleich, MW Mahoney
arXiv preprint arXiv:1810.07324, 2018
92018
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
82021
Avoiding synchronization in first-order methods for sparse convex optimization
A Devarakonda, K Fountoulakis, J Demmel, MW Mahoney
2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018
82018
Graph Attention Retrospective
K Fountoulakis, A Levi, S Yang, A Baranwal, A Jagannath
arXiv preprint arXiv:2202.13060, 2022
62022
Statistical guarantees for local graph clustering
W Ha, K Fountoulakis, MW Mahoney
The Journal of Machine Learning Research 22 (1), 6538-6591, 2021
62021
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Artikkelit 1–20