About me

I am a third year PhD student at the Laboratoire de Mathématiques d’Orsay. I work under the supervision of Christophe Giraud on link prediction with bandit feedback. Before that, I have worked under the supervision of Olga Klopp on network estimation.


I am taking a gap in my PhD from September 2020 to February 2021 to work with Yannig Goude and Gilles Stolzt on Adaptative Electric Load Forecasting, and Renewable Energy Production Forecasting.

Papers and software

Finite Continuum-Armed Bandits, S. Gaucher, NeuRIPS 2020.

Outliers Detection in Networks with Missing Links, S. Gaucher, O. Klopp, G. Robin. Arxiv

Maximum Likelihood Estimation of Sparse Networks with Missing Observations, S. Gaucher, O. Klopp. Arxiv

R package gsbm (2020). S Gaucher, G. Robin. The package allows to robustly estimate probabilities of connections in the presence of missing observations and outlier nodes, while detecting those outlier nodes.


Robust Link Prediction in the Stochastic Block Model, October 23. 2019, Network Days III, Orsay.

Maximum Likelihood Estimation of Sparse Networks with Missing Observations, April 5. 2019, Huitièmes Rencontres des Jeunes Statisticiens, Hyères.

Estimation of Sparse Networks, October 25. 2018, Network Days II, Orsay.


Rappels de Statistiques Mathématiques, Master Spécialisé, ENSAE, 2018-2019. Link to the page of the course.

Introduction to Machine Learning, 2nd year students, ENSAE, 2019-2020. Link to the page of the course.

Statistiques 1, 2nd year students, ENSAE, 2018-2020. Link to the page of the course.


  • PhD, Laboratoire de Mathématiques d’Orsay, Université Paris-Saclay, Orsay, France, 2018-

  • Master 2 “Mathématiques de l’Aléatoire”, Université Paris-Saclay, Orsay, France, 2017-2018.

  • Diplôme d’Ingénieur, École Polytechnique, Palaiseau, France, 2014-2018.

  • Classe Préparatoire aux Grandes Écoles, Lycée Hoche, Versailles, France, 2012-2014.

  • Baccalauréat Franco-Allemand, option scientifique, Lycée Franco-Allemand, Buc, France, 2012.

Curriculum Vitae