About me

- Solal Nathan
- You can contact me by mail
firstname.lastname [at] {lisn,upsaclay,ens-paris-saclay,inria} [dot] fr
- On Mastodon
Schooling
Publications
Conferences
- Recommender system in a non-stationary context: recommending job ads in pandemic times, by Guillaume Bied, Solal Nathan, Elia Perennes, Victor Alfonso Naya, Philippe Caillou, Bruno Crepon, Christophe Gaillac and Michèle Sebag, presented at ECML (Poster), 2022.
- On the impact of overfitting in learning to rank using a margin loss: a case study in job recommender systems by Guillaume Bied and Solal Nathan, poster presented at Baylearn and JDSE the same year (Poster), 2022.
Internship reports
- Advanced Optimization and Automated Machine Learning (M2), Lecturer on Unconstrained and Constrained Optimization, with Isabelle Guyon, Marc Schoenaer, Lisheng Sun-Hosaya, Haozhe Sun, Romain Egele, 2023.
- Introduction to Statistical Learning (L3), seminar supervisor, with François Landes
- Introduction aux Sciences des Données (L1), practical work supervisor, with Nicolas Thiery and Fanny Pouyet
- Inria Stand, Introduction to Algorithm and Cryptography, Fête de la Science, 2022.
CV