output
20162022
most citedEpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models

27 citations

8 papers

stat.ML2022★ 1 cited

Random survival forests with multivariate longitudinal endogenous covariates

Anthony Devaux, Catherine Helmer, Robin Genuer +1

Predicting the individual risk of a clinical event using the complete patient history is still a major challenge for personalized medicine. Among the methods developed to compute i…

stat.ME2020★ 4 cited

Doubly-robust evaluation of high-dimensional surrogate markers

Denis Agniel, Layla Parast, Boris Hejblum

When evaluating the effectiveness of a treatment, policy, or intervention, the desired measure of effectiveness may be expensive to collect, not routinely available, or may take a…

cs.LG2020★ 27 cited

EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models

Cédric Colas, Boris Hejblum, Sébastien Rouillon +4

Epidemiologists model the dynamics of epidemics in order to propose control strategies based on pharmaceutical and non-pharmaceutical interventions (contact limitation, lock down,…

stat.CO2020★ 1 cited

Robust and Efficient Optimization Using a Marquardt-Levenberg Algorithm with R Package marqLevAlg

Viviane Philipps, Boris P Hejblum, Mélanie Prague +2

Implementations in R of classical general-purpose algorithms for local optimization generally have two major limitations which cause difficulties in applications to complex problem…

cs.CL2019★ 8 cited

Pre-training A Neural Language Model Improves The Sample Efficiency of an Emergency Room Classification Model

Binbin Xu, Cédric Gil-Jardiné, Frantz Thiessard +3

To build a French national electronic injury surveillance system based on emergency room visits, we aim to develop a coding system to classify their causes from clinical notes in f…

stat.ML2019

Fréchet random forests for metric space valued regression with non euclidean predictors

Louis Capitaine, Jérémie Bigot, Rodolphe Thiébaut +1

Random forests are a statistical learning method widely used in many areas of scientific research because of its ability to learn complex relationships between input and output var…

math.ST2016★ 1 cited

Comments on: "A Random Forest Guided Tour" by G. Biau and E. Scornet

Sylvain Arlot, Robin Genuer

This paper is a comment on the survey paper by Biau and Scornet (2016) about random forests. We focus on the problem of quantifying the impact of each ingredient of random forests…

stat.AP2016★ 2 cited

Modeling CD4+ T cells dynamics in HIV-infected patients receiving repeated cycles of exogenous Interleukin 7

Ana Jarne, Daniel Commenges, Mélanie Prague +2

Combination Antiretroviral Therapy (cART) succeeds to control viral replication in most HIV infected patients. This is normally followed by a reconstitution of the CD4 T cells…