I am a postdoctoral reasearcher and a member of the Decision Making team of the Computer Science Department, at the University of Tübingen. Before that, I was a PhD at the CREATIS laboratory under the supervision of Carole Lartizien and Ievgen Redko.

I am reachable at sofiane.myLastName[At]uni-tuebingen.com.

Publications

• Analyse théorique de l’apprentissage avec des fonctions de similarités pour l’adaptation de domaine, CAp 2018 (France).
• On learning a large margin classifier for domain adaptation based on similarity functions, CAp 2019 (France).
• Revisiting (\epsilon, \gamma, \tau)-similarity learning for domain adaptation, NeurIPS 2018.
• Margin-aware Adversarial Domain Adaptation with Optimal Transport, ICML 2020.
• A Swiss Army Knife for Minimax Optimal Transport, ICML 2020.
• Hypothesis Transfer in Bandits by Weighted Models, ECML PKDD 2022 (2nd author).

Preprints

• Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization, arXiv preprint, 2022.

Reviewing:

• ICML 2021
• Neurips 2021: Outstanding Reviewer Award (Top 8% of reviewers).
• ICLR 2022
• Neurips 2023

Some useful links:

A list of links that I found useful during my PhD years: tools, GitHub repositories, dataset download links etc…