Vincent Rivoirard

11 papers Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Scalable and Adaptive Variational Bayes Methods for Hawkes Processes.
J. Mach. Learn. Res.
Déborah Sulem, Vincent Rivoirard, Judith Rousseau
2022 J jnl
Adaptive Greedy Algorithm for Moderately Large Dimensions in Kernel Conditional Density Estimation.
J. Mach. Learn. Res.
Minh-Lien Jeanne Nguyen, Claire Lacour, Vincent Rivoirard
2022 J jnl
Uniform deconvolution for Poisson Point Processes.
J. Mach. Learn. Res.
Anna Bonnet, Claire Lacour, Franck Picard, Vincent Rivoirard
2019 J jnl
A Data-Dependent Weighted LASSO Under Poisson Noise.
IEEE Trans. Inf. Theory
Xin Jiang Hunt, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett
2016 J jnl
Adaptive Lasso and group-Lasso for functional Poisson regression.
J. Mach. Learn. Res.
Stéphane Ivanoff, Franck Picard, Vincent Rivoirard
2016 — conf
Genomic transcription regulatory element location analysis via poisson weighted lasso.
SSP
Xin Jiang Hunt, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett
2015 J jnl
A data-dependent weighted LASSO under Poisson noise.
CoRR
Xin Jiang Hunt, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett
2014 J jnl
LASSO-type estimators for semiparametric nonlinear mixed-effects models estimation.
Stat. Comput.
Ana Arribas-Gil, Karine Bertin, Cristian Meza, Vincent Rivoirard
2013 — conf
Inference of functional connectivity in Neurosciences via Hawkes processes.
GlobalSIP
Patricia Reynaud-Bouret, Vincent Rivoirard, Christine Tuleau-Malot
2013 J jnl
The dictionary approach for spherical deconvolution.
J. Multivar. Anal.
Thanh Mai Pham Ngoc, Vincent Rivoirard
2012 J jnl
Nonparametric Estimation of the Division Rate of a Size-Structured Population.
SIAM J. Numer. Anal.
Marie Doumic, M. Hoffmann, Patricia Reynaud-Bouret, Vincent Rivoirard