Improving Fairness Generalization Through a Sample-Robust Optimization Method

Autor: Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala

Publikováno v: Machine Learning
Machine Learning, 2023, Special Issue on Safe and Fair Machine Learning, 112 (6), pp.2131-2192. ⟨10.1007/s10994-022-06191-y⟩

International audience; Unwanted bias is a major concern in machine learning, raising in particular significant ethical issues when machine learning models are deployed within high-stakes decision systems. A common solution to mitigate it is to integ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::caf487966f9bb81f01e523c27d152c5f
https://hal.science/hal-03709547/document

FairCORELS, an Open-Source Library for Learning Fair Rule Lists

Autor: Sébastien Gambs, Ulrich Aïvodji, Mohamed Siala, Marie-José Huguet, Julien Ferry

Publikováno v: ACM International Conference on Information and Knowledge Management, Virtual Event
ACM International Conference on Information and Knowledge Management, Virtual Event, Nov 2021, Queensland, Australia. pp.4665-4669, ⟨10.1145/3459637.3481965⟩
CIKM

International audience; FairCORELS is an open-source Python module for building fair rule lists. It is a multi-objective variant of CORELS, a branch-and-bound algorithm to learn certifiably optimal rule lists. FairCORELS supports six statistical fair

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de26886acc217b610b9ec7cce3b679c0
https://hal.laas.fr/hal-03427276/file/2021_CIKM_DemoTrack_FairCORELS.pdf

Leveraging Reinforcement Learning, Constraint Programming and Local Search: A Case Study in Car Manufacturing

Autor: Alain Nguyen, Valentin Antuori, Marie-José Huguet, Emmanuel Hebrard, Siham Essodaigui

Publikováno v: International Conference on Principles and Practice of Constraint Programming
Principles and Practice of Constraint Programming. CP 2020
Principles and Practice of Constraint Programming. CP 2020, Sep 2020, Louvain La Neuve, Belgium. pp.657-672, ⟨10.1007/978-3-030-58475-7_38⟩
Lecture Notes in Computer Science ISBN: 9783030584740
CP

International audience; The problem of transporting vehicle components in a car manufacturer workshop can be seen as a large scale single vehicle pickup and delivery problem with periodic time windows. Our experimental evaluation indicates that a rel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88ef018cf52fac934b28e72196c5f77d
https://hal.laas.fr/hal-02938190/document

Comparison between two approaches to solve the Job-shop Scheduling Problem with Routing

Autor: Marie-José Huguet, Nikolay Tchernev, Philippe Lacomme, Matthieu Gondran

Publikováno v: 9th Manufacturing Modelling, Management and Control (MIM)
9th Manufacturing Modelling, Management and Control (MIM), Aug 2019, Berlin, Germany
HAL

the Job-Shop Scheduling Problem with Routing (JSPR) is an extension of the Job-Shop Scheduling Problem with Transport where a criteria of Quality of Service (QoS) is defined to the routing sub-problem. The QoS is defined as a trade off between the To

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61f8cec875c7b5a66368581ff98b808b
https://hal.science/hal-02181541

Finding stable flows in multi-agent networks under an equal-sharing policy

Autor: Cyril Briand, Nadia Chaabane Fakhfakh, Marie-José Huguet

Publikováno v: Electronic Notes in Discrete Mathematics. 52:157-164

A Multi-Agent network flow problem is addressed in this paper where a set of transportation-agents can control the capacities of a set of routes. Each agent incurs a cost proportional to the chosen capacity. A third-party agent, a customer, is intere

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2683d56d041d7d15371a065563a2a143
https://doi.org/10.1016/j.endm.2016.03.021