DECISION - Conference papers

Current teams :	ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL
Former team :	ACASA

Publications DECISION	2023	2024	Total
Books	0	0	0
Edited books	0	0	0
Journal articles	2	8	10
Book chapters	0	0	0
Conference papers	13	5	18
Habilitations	0	1	1
Thesis	1	1	2

LIP6

N. Benabbou, C. Leroy, Th. Lust, P. Perny : “Combining Preference Elicitation with Local Search and Greedy Search for Matroid Optimization”, Proceedings of the 35^th AAAI Conference on Artificial Intelligence (AAAI'21), Virtual, France [Benabbou 2021a]
N. Benabbou, C. Leroy, Th. Lust, P. Perny : “Élicitation Incrémentale combinée à la Recherche Locale et Recherche Gloutonne pour l'Optimisation de Matroïdes Pondérés”, 22e congrès annuel de la société française de recherche opérationnelle et d'aide à la décision, Mulhouse (en ligne), France [Benabbou 2021b]
N. Benabbou, C. Leroy, Th. Lust, P. Perny : “Interactive Optimization of Submodular Functions under Matroid Constraints”, ADT 2021 - 7^th International Conference on Algorithmic Decision Theory, vol. 13023, Lecture Notes in Computer Science book series, Toulouse, France, pp. 307-322, (Springer-Verlag), (ISBN: 978-3-030-87755-2) [Benabbou 2021c]
C. Charon, P.‑H. Wuillemin, J. Belmin : “Réseaux Bayésiens pour la Prédiction d'Évènements de Santé Défavorables en EHPAD (Établissement d'Hébergement pour Personnes Âgées Dépendantes)”, 10èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes (JFRB 2021), Porquerolles, France [Charon 2021]
Ch. Dang, C. Bazgan, T. Cazenave, M. Chopin, P.‑H. Wuillemin : “Monte Carlo Search Algorithms for Network Traffic Engineering”, Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings,, vol. 12978, Lecture Notes in Computer Science, Bilbao, Spain, pp. 486-501, (Springer) [Dang 2021]
B. Escoffier, O. Spanjaard, M. Tydrichová : “Measuring Nearly Single-Peakedness of an Electorate: Some New Insights”, Algorithmic Decision Theory 7^th International Conference, ADT 2021, Toulouse, France, November 3–5, 2021, Proceedings, vol. 13023, Lecture Notes in Computer Science, Toulouse, France, pp. 19-34, (Springer) [Escoffier 2021]
A. Grivet Sébert, N. Maudet, P. Perny, P. Viappiani : “Preference Aggregation in the Generalised Unavailable Candidate Model”, 7^th International Conference on Algorithmic Decision Theory, vol. 13023, Lecture Notes in Computer Science, Toulouse, France, pp. 35-50, (Springer) [Grivet Sébert 2021a]
A. Grivet Sébert, N. Maudet, P. Perny, P. Viappiani : “Rank Aggregation by Dissatisfaction Minimisation in the Unavailable Candidate Model”, Proceedings of AAMAS 2021, AAMAS '21: Proceedings of the 20^th International Conference on Autonomous Agents and MultiAgent Systems, Online, United Kingdom, pp. 1518-1520, (ACM) [Grivet Sébert 2021b]
N. Gross‑Humbert, N. Benabbou, A. Beynier, N. Maudet : “Sequential and Swap Mechanisms for Public Housing Allocation with Quotas and Neighbourhood-Based Utilities (Extended Abstract)”, Proceedings of the 20^th International Conference on Autonomous Agentsand Multiagent Systems (AAMAS 2021), London / Online, United Kingdom [Gross-Humbert 2021]
M. HADJ ALI, Y. Le Biannic, P.‑H. Wuillemin : “Réseaux bayésiens et valeurs de Shapley”, 10èmes Journée Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes (JFRB 2021), Porquerolles, France [HADJ ALI 2021]
M. Lasserre, R. Lebrun, P.‑H. Wuillemin : “Apprentissage de modèles continus à grandes dimensions en utilisant l'information mutuelle et les réseaux bayésiens de copules”, 10èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes, Porquerolles, France [Lasserre 2021a]
M. Lasserre, R. Lebrun, P.‑H. Wuillemin : “Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks”, Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35 (13), AAAI-21 Technical Tracks 13, Vancouver, Canada, pp. 12139-12146 [Lasserre 2021c]
C. Manfredotti, P. Viappiani : “A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty”, The 18^th International Conference on Modeling Decisions for Artificial Intelligence, vol. LNAI, Modeling Decisions for Artificial Intelligence, Umea (Online), Sweden, (Springer) [manfredotti 2021]
B. Napolitano, O. Cailloux, P. Viappiani : “Simultaneous Elicitation of Scoring Rule and Agent Preferences for Robust Winner Determination”, Proceedings of the 7^th International Conference on Algorithmic Decision Theory (ADT 2021), vol. 13023, Lecture Notes in Computer Science, Toulouse, France, pp. 51-67, (Springer) [Napolitano 2021]
F. Toffano, P. Viappiani, N. Wilson : “Efficient Exact Computation of Setwise Minimax Regret for Interactive Preference Elicitation”, Proceedings of AAMAS 2021, Online, United Kingdom [Toffano 2021]
D. Wu, V. Nguyen, M. Minoux, H. Tran : “An integer programming model for minimizing energy cost in water distribution system using trigger levels with additional time slots”, 2021 RIVF International Conference on Computing and Communication Technologies (RIVF), Hanoi, Viet Nam, pp. 1-6, (IEEE) [Wu 2021a]