Kevin Scaman

According to our database1, Kevin Scaman authored at least 15 papers between 2014 and 2020.

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Bibliography

2020
Ego-based Entropy Measures for Structural Representations.
CoRR, 2020

2019
Optimal Convergence Rates for Convex Distributed Optimization in Networks.
J. Mach. Learn. Res., 2019

Coloring graph neural networks for node disambiguation.
CoRR, 2019

Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Optimal Algorithms for Non-Smooth Distributed Optimization in Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

KONG: Kernels for ordered-neighborhood graphs.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
A Spectral Method for Activity Shaping in Continuous-Time Information Cascades.
CoRR, 2017

Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Multivariate Hawkes Processes for Large-Scale Inference.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Suppressing Epidemics in Networks Using Priority Planning.
IEEE Trans. Netw. Sci. Eng., 2016

2015
Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Greedy Approach for Dynamic Control of Diffusion Processes in Networks.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

2014
What Makes a Good Plan? An Efficient Planning Approach to Control Diffusion Processes in Networks.
CoRR, 2014

Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014


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