- Fairness, Interpretablitity and Privacy in Machine Learning Models
- 2019 -->
- Subject : Differentiel Privacy for Interpretable Machine Learing model
- Participants: Julien Ferry, Ulrich Aivodji (UQAM), Sébastien Gambs (UQAM)
- Internship: Timothée Ly (M2, 2023)
- Subject:
- Sensitive Attributes Reconstruction Attack
- Privacy vulnerabilities of interpretable models
- Combinatorial methods for learning Fair Rule Lists
- Fairness Generalization based on Distributionnaly Robust Optimization
- Participants: Ulrich Aivodji (UQAM), Sébastien Gambs (UQAM), Mohamed Siala (LAAS-CNRS, ROC)
- Internship: Julien Ferry (M1, 2019)
- PhD student: Julien Ferry (2020-)
- Subject : Mixed Integer Linear Program for Fair Scoring Systems in Multiclass Classification
- Participants: Julien Ferry, Ulrich Aivodji (UQAM), Sébastien Gambs (UQAM), Mohamed Siala (LAAS-CNRS, ROC)
- Internship: Julien Rouzot (M2, 2022)
- Subject: Fair Decision Trees with SAT and MAX Sat models
- Participants: Ulrich Aivodji (UQAM), Sébastien Gambs (UQAM), Mohamed Siala (LAAS-CNRS, ROC)
- Internship: Maxence Biers (M2, 2020)
- Subject: Interpretable models via SAT and MaxSAT
- Participants: Mohamed Siala (LAAS-CNRS, ROC), Emmanuel Hébrard (LAAS-CNRS, ROC)
- PhD Student: Hao Hu (2019-2022)
- Enhancing tree search methods with machine learning technics
- 2024 -->
- Participants: Quentin Cappart (Polytechnique Montréal), Sylvie Thiébaux (ANITI, LAAS-CNRS)
- PhD student: Hugo Barral
- Hybridization of combinatorial search and reinforcement learning methods
- 2019 - 2022
- Subject:
- Leveraging Reinforcement Learning and Combinatorial methods - Routing and Scheduling problems
- Monte-Carlo Tree Search for combinatorial optimization - Routing and Scheduling problems
- Participants: Emmanuel Hébrard (LAAS-CNRS, ROC), Siham Essodaigui and Alain Nguyen (Renault)
- PhD Student: Valentin Antuori (Renault / LAAS-CNRS)
- Clustering
- Subject: Identification of Sargassum Algae in satellite image
- Participants: Gilles Trédan (LAAS-CNRS, TSF) / CLS, CNES
- Post-Doc: Estèle Glize (2019)
- Internship : Robin Montérémal (M1, 2019)ivez votre contenu ici
