Rémi
Lemonnier, Kevin Scaman, Nicolas Vayatis.
Tight Bounds for Influence in
Diffusion Networks and Application to Bond Percolation and
Epidemiology.
Proceedings
of NIPS'14
K. Scaman, A. Kalogeratos, N.
Vayatis.
Dynamic Treatment Allocation for Epidemic Control in Arbitrary
Networks. (PDF)
Proceedings of WSDM 2014 Diffusion in Networks and Cascade Analytics
(DiffNet) Workshop, February, NYC, 2014.
E. Richard, S. Gaiffas, and N.
Vayatis.
Link Prediction in Graphs with
Autoregressive Features. (PDF)
Journal of Machine Learning Research.
Volume 15(Feb):565−593, 2014.
E. Richard, P.A. Savalle, and N.
Vayatis.
Estimating simultaneously sparse and
low-rank matrices. (PDF)
Proceedings of ICML'12, 2012
E. Richard, S. Gaiffas, and N.
Vayatis.
Link Prediction in Graphs with
Autoregressive Features. (PDF)
Proceedings of NIPS'12, 2012.
E. Richard,D. Buffoni, N.
Baskiotis, and N. Vayatis.
Taking the best of many link
recommendations and applications to C2C e-commerce.
Preprint, 2012.
E. Richard, N. Baskiotis, T.
Evgeniou, and N. Vayatis.
Link discovery using Graph Feature Tracking.
Proceedings of NIPS'10,
Advances in Neural Information Processing Systems 23, MIT Press, 2010.