Kevin Scaman
Kevin Scaman
Research scientist, Huawei Technologies
Verified email at huawei.com - Homepage
Title
Cited by
Cited by
Year
Optimal algorithms for smooth and strongly convex distributed optimization in networks
K Scaman, F Bach, S Bubeck, YT Lee, L Massoulié
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
1412017
Optimal algorithms for non-smooth distributed optimization in networks
K Scaman, F Bach, S Bubeck, L Massoulié, YT Lee
Advances in Neural Information Processing Systems, 2740-2749, 2018
782018
Lipschitz regularity of deep neural networks: analysis and efficient estimation
A Virmaux, K Scaman
Advances in Neural Information Processing Systems, 3835-3844, 2018
692018
Tight bounds for influence in diffusion networks and application to bond percolation and epidemiology
R Lemonnier, K Scaman, N Vayatis
Advances in Neural Information Processing Systems, 846-854, 2014
192014
Optimal convergence rates for convex distributed optimization in networks
K Scaman, F Bach, S Bubeck, Y Lee, L Massoulié
Journal of Machine Learning Research 20, 1-31, 2019
182019
Multivariate Hawkes processes for large-scale inference
R Lemonnier, K Scaman, A Kalogeratos
arXiv preprint arXiv:1602.08418, 2016
162016
Suppressing epidemics in networks using priority planning
K Scaman, A Kalogeratos, N Vayatis
IEEE Transactions on Network Science and Engineering 3 (4), 271-285, 2016
152016
Anytime influence bounds and the explosive behavior of continuous-time diffusion networks
K Scaman, R Lemonnier, N Vayatis
Advances in Neural Information Processing Systems, 2026-2034, 2015
112015
A greedy approach for dynamic control of diffusion processes in networks
K Scaman, A Kalogeratos, N Vayatis
2015 IEEE 27th International Conference on Tools with Artificial …, 2015
72015
Spectral bounds in random graphs applied to spreading phenomena and percolation
R Lemonnier, K Scaman, N Vayatis
Advances in Applied Probability 50 (2), 480-503, 2018
42018
What makes a good plan? An efficient planning approach to control diffusion processes in networks
K Scaman, A Kalogeratos, N Vayatis
arXiv preprint arXiv:1407.4760, 2014
42014
Dynamic treatment allocation for epidemic control in arbitrary networks
K Scaman, A Kalogeratos, N Vayatis
Diffusion Networks and Cascade Analytics workshop, 2014
42014
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning
I Colin, L Dos Santos, K Scaman
Advances in Neural Information Processing Systems, 12371-12380, 2019
32019
A spectral method for activity shaping in continuous-time information cascades
K Scaman, A Kalogeratos, L Corinzia, N Vayatis
arXiv preprint arXiv:1709.05231, 2017
32017
Coloring graph neural networks for node disambiguation
G Dasoulas, LD Santos, K Scaman, A Virmaux
arXiv preprint arXiv:1912.06058, 2019
22019
Information diffusion and rumor spreading
A Kalogeratos, K Scaman, L Corinzia, N Vayatis
Cooperative and Graph Signal Processing, 651-678, 2018
22018
KONG: Kernels for ordered-neighborhood graphs
M Draief, K Kutzkov, K Scaman, M Vojnovic
Advances in Neural Information Processing Systems, 4051-4060, 2018
22018
Learning to suppress SIS epidemics in networks
A Kalogeratos, K Scaman, N Vayatis
Networks in the Social and Information Sciences workshop, 2015
22015
Ego-based Entropy Measures for Structural Representations
G Dasoulas, G Nikolentzos, K Scaman, A Virmaux, M Vazirgiannis
arXiv preprint arXiv:2003.00553, 2020
2020
Partial network immunization in Continuous-Time Information Cascades
A Kalogeratos, K Scaman, L Corinzia, N Vayatis
BOOK OF ABSTRACTS, 113, 2017
2017
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