VIAPPIANI Paolo
离开日期 : 2021-9-30
2017
GILBERT Hugo : Algorithmes à base d’oracles pour optimiser des critères décisionnels sophistiqués pour les problèmes de décision séquentielle, robuste et équitable .
2009
2013-2021 刊物
所有
参考书目
刊物文章
会议文章
2021
A. Sébert, N. Maudet, P. Perny, P. Viappiani : “Preference Aggregation in the Generalised Unavailable Candidate Model ”, 7th International Conference on Algorithmic Decision Theory, vol. 13023, Lecture Notes in Computer Science, Toulouse, France, pp. 35-50, (Springer) (2021)B. Napolitano, O. Cailloux, P. Viappiani : “Simultaneous Elicitation of Scoring Rule and Agent Preferences for Robust Winner Determination ”, Proceedings of the 7th International Conference on Algorithmic Decision Theory (ADT 2021), vol. 13023, Lecture Notes in Computer Science, Toulouse, France, pp. 51-67, (Springer) (2021)C. Manfredotti, P. Viappiani : “A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty ”, The 18th International Conference on Modeling Decisions for Artificial Intelligence, vol. LNAI, Modeling Decisions for Artificial Intelligence, Umea (Online), Sweden, (Springer) (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 (2021)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 20th International Conference on Autonomous Agents and MultiAgent Systems, Online, United Kingdom, pp. 1518-1520, (ACM) (2021)
2020
O. Nefla, I. Brigui, P. Viappiani, O. Raboun : “Agent-based ordinal classification for group decision making ”, The 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'20), Melbourne (en virtuel), Australia (2020)A. Rico, P. Viappiani : “Incremental Elicitation of Capacities for the Sugeno Integral with a Maximin Approach ”, 14th International Conference on Scalable Uncertainty Management (SUM 2020), Bolzano, Italy (2020)F. Toffano, N. Wilson, P. Viappiani : “Efficient Exact Computation of Setwise Minimax Regret ”, The 19th workshop on Constraint Modelling and Reformulation (ModRef 2020), Louvain-la-Neuve, Belgium (2020)P. Viappiani, C. Boutilier : “On the equivalence of optimal recommendation sets and myopically optimal query sets ”, Artificial Intelligence, vol. 286, pp. 103328, (Elsevier) (2020)P. Viappiani : “Robust Winner Determination in Positional Scoring Rules with Uncertain Weights ”, Theory and Decision, vol. 88 (3), pp. 323–367, (Springer Verlag) (2020)M. Caillat, N. Darcel, C. Manfredotti, P. Viappiani : “Bayesian Vote Elicitation for Group Recommendations ”, From Multiple Criteria Decision Aid to Preference Learning (DA2PL 2020), Trento, Italy (2020)O. Nefla, M. Öztürk, P. Viappiani, I. Brigui‑Chtioui, O. Raboun : “Group-based Ordinal Classification based on a Negotiation Process ”, Rencontre des Jeunes Chercheur·ses en Intelligence Artificielle, Angers, France, pp. 50-52, (Association française pour l'intelligence artificielle) (2020)
2019
O. Nefla, M. Öztürk, P. Viappiani, I. Brigui‑Chtioui : “Interactive Elicitation of a Majority Rule Sorting Model with Maximum Margin Optimization ”, Algorithmic Decision Theory: 6th International Conference, ADT 2019, Durham, NC, USA, October 25–27, 2019, Proceedings, Durham, NC, United States (2019)B. Napolitano, O. Cailloux, P. Viappiani : “Simultaneous Elicitation of Committee and Voters’ Preferences ”, Rencontres des Jeunes Chercheurs en Intelligence Artificielle 2019, Actes des Rencontres des Jeunes Chercheurs en Intelligence Artificielle 2019, Toulouse, France, pp. 59-62 (2019)
2018
2017
S. Teso, P. Viappiani, A. Passerini : “Constructive Preference Elicitation for Multiple Users with Setwise Maxmargin ”, ADT 2017, the 5th International Conference on Algorithmic Decision Theory, Luxembourg, Luxembourg (2017)H. Gilbert, N. Benabbou, P. Perny, O. Spanjaard, P. Viappiani : “Incremental Decision Making Under Risk with the Weighted Expected Utility Model ”, Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), Melbourne, Australia (2017)N. Benabbou, P. Perny, P. Viappiani : “Incremental elicitation of choquet capacities for multicriteria choice, ranking and sorting problems ”, Artificial Intelligence, vol. 246, pp. 152-180, (Elsevier) (2017)
2016
N. Benabbou, P. Perny, P. Viappiani : “A regret-based preference elicitation approach for sorting with multicriteria reference profiles ”, From Multicriteria Decision Making to Preference Learning (DA2PL'16), Paderborn, Germany (2016)S. Teso, A. Passerini, P. Viappiani : “Constructive Preference Elicitation by Setwise Max-Margin Learning ”, Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16), New York, United States, pp. 2067-2073 (2016)P. Perny, P. Viappiani, A. Boukhatem : “Incremental Preference Elicitation for Decision Making Under Risk with the Rank-Dependent Utility Model ”, Uncertainty in Artificial Intelligence, New York, United States (2016)H. Gilbert, B. Zanuttini, P. Viappiani, P. Weng, E. Nicart : “Model-Free Reinforcement Learning with Skew-Symmetric Bilinear Utilities ”, Proc. 32nd Conference on Uncertainty in Artificial Intelligence (UAI~2016), New York City, United States (2016)N. Benabbou, P. Perny, P. Viappiani : “Tri multicritère intéractif basé sur le concept de regret : approches avec seuils de préférences ou profils de référence ”, 17e congrès annuel de la société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF 2016), Compiègne, France (2016)N. Benabbou, S. Di Sabatino Di Diodoro, P. Perny, P. Viappiani : “Incremental Preference Elicitation in Multi-Attribute Domains for Choice and Ranking with the Borda Count ”, The tenth International Conference on Scalable Uncertainty Management, vol. 9858, Lecture Notes in Computer Science, Nice, France, pp. 81-95, (Springer) (2016)D. Jannach, J. Mengin, B. Mobasher, A. Passerini, P. Viappiani : “Proceedings of the IJCAI 2015 Joint Workshop on Constraints and Preferences for Configuration and Recommendation and Intelligent Techniques for Web Personalization co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015) ”, IJCAI Joint Workshop on Constraints and Preferences for Configuration and Recommendation and Intelligent Techniques for Web Personalization (CPCR+ITWP 2015) n°1440, Buenos Aires, Argentina, (CEUR Workshop Proceedings) (2016)G. Pigozzi, A. Tsoukiàs, P. Viappiani : “Preferences in Artificial Intelligence ”, Annals of Mathematics and Artificial Intelligence, vol. 77 (3-4), pp. 361-401, (Springer Verlag) (2016)
2015
H. Gilbert, O. Spanjaard, P. Viappiani, P. Weng : “Reducing the Number of Queries in Interactive Value Iteration ”, 4th International Conference on Algorithmic Decision Theory (ADT 2015), vol. 9346, Lecture Notes in Computer Science, Lexington, KY, United States, pp. 139-152, (Springer) (2015)P. Viappiani : “Characterization of Scoring Rules with Distances: Application to the Clustering of Rankings ”, Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, pp. 104-110 (2015)H. Gilbert, O. Spanjaard, P. Viappiani, P. Weng : “Solving MDPs with Skew Symmetric Bilinear Utility Functions ”, 24th International Joint Conference on Artificial Intelligence (IJCAI-15), Buenos Aires, Argentina, pp. 1989-1995 (2015)N. Benabbou, Ch. Gonzales, P. Perny, P. Viappiani : “Minimax Regret Approaches for Preference Elicitation with Rank-Dependent Aggregators ”, EURO Journal on Decision Processes, vol. 3 (1-2), pp. 29-64 (2015)H. Gilbert, O. Spanjaard, P. Viappiani, P. Weng : “Processus décisionnels de Markov avec un tournoi valué sur les politiques ”, 16e congrès annuel de la Société française de recherche opérationnelle et d’aide à la décision (ROADEF), Marseille, France (2015)
2014
P. Viappiani : “Preference Modeling and Preference Elicitation: An Overview. ”, Proceedings of the First International Workshop on Decision Making and Recommender Systems (DMRS2014), vol. 1278, Bolzano, Italy, pp. 19-24, (CEUR Workshop Proceedings) (2014)N. Benabbou, P. Perny, P. Viappiani : “Incremental Elicitation of Choquet Capacities for Multicriteria Decision Making ”, Proceedings of the 21st European Conference on Artificial Intelligence (ECAI'14), vol. 263, Frontiers in Artificial Intelligence and Applications, Prague, Czechia, pp. 87-92 (2014)P. Viappiani : “Aggregation of Uncertain Qualitative Preferences for a Group of Agents ”, 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2014, vol. 443, Communications in Computer and Information Science, Montpellier, France, pp. 434-443, (Springer) (2014)M. Zimmer, P. Viappiani, P. Weng : “Teacher-Student Framework: a Reinforcement Learning Approach ”, AAMAS Workshop Autonomous Robots and Multirobot Systems, Paris, France (2014)N. Benabbou, P. Perny, P. Viappiani : “Apprentissage des paramètres d’une intégrale de Choquet par regret minimax ”, ROADEF - 15e congrès annuel de la Société française de recherche opérationnelle et d'aide à la décision, Bordeaux, France (2014)P. Viappiani : “Tutoriel : Principled Approaches to Preference Learning ”, ROADEF - 15e congrès annuel de la Société française de recherche opérationnelle et d'aide à la décision, Bordeaux, France (2014)
2013
A. Tsoukiàs, P. Viappiani : “Tutorial on preference handling ”, ACM Conference on Recommender System (RecSys), Hong Kong, China, pp. 497-498 (2013)F. Borzee, V. Mousseau, M. Pirlot, X. Siebert, P. Viappiani : “Bayesian Recommendations and Utility Elicitation with Intensity of Preference Statements ”, European Conference on Operational Research, EURO 2013, Preference Learning stream, Rome, Italy (2013)P. Viappiani, P. Perny, Ch. Gonzales : “Elicitation of Non-linear Utility Models ”, European Conference on Operations Research, Preference Learning stream, Rome, Italy (2013)M. Jaeger, Th. Nielsen, P. Viappiani : “Twelfth Scandinavian Conference on Artificial Intelligence, SCAI 2013, Aalborg, Denmark, November 20-22, 2013 ”, Twelfth Scandinavian Conference on Artificial Intelligence, SCAI 2013, vol. 257, Frontiers in Artificial Intelligence and Applications, Aalborg, Denmark, (IOS Press), (ISBN: 978-1-61499-329-2, 978-1-61499-3) (2013)P. Viappiani, Ch. Kroer : “Robust Optimization of Recommendation Sets with the Maximin Utility Criterion ”, The 3rd International Conference on Algorithmic Decision Theory, ADT 2013, vol. 8176, Lecture Notes in Computer Science, Bruxelles, Belgium, pp. 411-424, (Springer Berlin Heidelberg) (2013)P. Viappiani : “Thompson Sampling for Bayesian Bandits with Resets ”, Lecture Notes in Computer Science, vol. 8176, Lecture Notes in Computer Science, Bruxelles, Belgium, pp. 399-410, (Springer Berlin Heidelberg) (2013)
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