Direction de recherche : Patrice PERNY

Explainable Sparse Models: a Marriage between Machine Learning and Decision Theory

Publications 2022-2024

• 2024
  • M. Herin, M. Il Idrissi, V. Chabridon, B. Iooss : “Proportional marginal effects for global sensitivity analysis”, (2024)
  • M. Herin, P. Perny, N. Sokolovska : “Learning GAI-decomposable Utility Models for Multiattribute Decision Making”, Proc. 38^th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada (2024)
• 2023
  • M. Herin, P. Perny, N. Sokolovska : “Learning Preference Models with Sparse Interactions of Criteria”, IJCAI 2023 - The 32^nd International Joint Conference On Artificial Intelligence, Macao, China (2023)
• 2022
  • M. Herin, P. Perny, N. Sokolovska : “A Dual Approach for Learning Sparse Representations of Choquet Integrals”, DA2PL From Multiple-Criteria Decision Aid to Preference Learning, Compiègne, France (2022)
  • M. Herin, P. Perny, N. Sokolovska : “Learning Sparse Representations of Preferences within Choquet Expected Utility Theory”, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, vol. 180, Proceedings of Machine Learning Research, Eindhoven, Netherlands, pp. 800-810, (PMLR) (2022)
  • M. Herin, P. Perny, N. Sokolovska : “Learning Utilities and Sparse Representations of Capacities for Multicriteria Decision Making with the Bipolar Choquet Integral”, Multidisciplinary Workshop on Advances in Preference Handling, IJCAI, Vienne, Austria (2022)