Nombre de documents

23

CV de Paolo Viappiani


Communication dans un congrès20 documents

  • Nawal Benabbou, Serena Di Sabatino Di Diodoro, Patrice Perny, Paolo Viappiani. Incremental Preference Elicitation in Multi-Attribute Domains for Choice and Ranking with the Borda Count. The tenth International Conference on Scalable Uncertainty Management, Sep 2016, Nice, France. 2016. <hal-01342500>
  • Hugo Gilbert, Bruno Zanuttini, Paolo Viappiani, Paul Weng, Esther Nicart. Model-Free Reinforcement Learning with Skew-Symmetric Bilinear Utilities. 32nd Conference on Uncertainty in Artificial Intelligence (UAI~2016), Jun 2016, New York City, United States. Proc. 32nd Conference on Uncertainty in Artificial Intelligence (UAI~2016). <hal-01356085>
  • Stefano Teso, Andrea Passerini, Paolo Viappiani. Constructive Preference Elicitation by Setwise Max-Margin Learning. International Joint Conference on Artificial Intelligence (IJCAI-16), Jul 2016, New York, United States. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16), pp.2067-2073, <http://www.ijcai.org/>. <hal-01359521>
  • Nawal Benabbou, Patrice Perny, Paolo Viappiani. A regret-based preference elicitation approach for sorting with multicriteria reference profiles. From Multicriteria Decision Making to Preference Learning (DA2PL'16), Nov 2016, Paderborn, Germany. 2016. <hal-01423287>
  • Patrice Perny, Paolo Viappiani, Abdellah Boukhatem. Incremental Preference Elicitation for Decision Making Under Risk with the Rank-Dependent Utility Model. Uncertainty in Artificial Intelligence, Jun 2016, New York, United States. 2016, <http://www.auai.org/uai2016/>. <hal-01345457>
  • Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng. Solving MDPs with Skew Symmetric Bilinear Utility Functions. 24th International Joint Conference on Artificial Intelligence (IJCAI-15), Jul 2015, Buenos Aires, Argentina. pp.1989-1995. <hal-01212802>
  • Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng. Reducing the Number of Queries in Interactive Value Iteration. 4th International Conference on Algorithmic Decision Theory (ADT 2015), Sep 2015, Lexington, KY, United States. Springer, 9346, pp.139-152, Lecture Notes in Computer Science. <10.1007/978-3-319-23114-3_9>. <hal-01213280>
  • Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng. Processus décisionnels de Markov avec un tournoi valué sur les politiques. 16ème congrès annuel de la Société française de recherche opérationnelle et d’aide à la décision (ROADEF), Feb 2015, Marseille, France. <hal-01214859>
  • Paolo Viappiani. Characterization of Scoring Rules with Distances: Application to the Clustering of Rankings. The Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), Jul 2015, Buenos Aires, Argentina. Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), pp.104-110. <hal-01359528>
  • Paolo Viappiani. Preference Modeling and Preference Elicitation: An Overview.. The First International Workshop on Decision Making and Recommender Systems (DMRS2014), Sep 2014, Bolzano, Italy. CEUR Workshop Proceedings, 1278, pp.19-24. <hal-01212730>
  • Matthieu Zimmer, Paolo Viappiani, Paul Weng. Teacher-Student Framework: a Reinforcement Learning Approach. AAMAS Workshop Autonomous Robots and Multirobot Systems, May 2014, Paris, France. <http://ii.tudelft.nl/arms2014/>. <hal-01215273>
  • Nawal Benabbou, Patrice Perny, Paolo Viappiani. Incremental Elicitation of Choquet Capacities for Multicriteria Decision Making. The 21st European Conference on Artificial Intelligence (ECAI'14), Aug 2014, Prague, Czech Republic. 263, pp.87-92, Frontiers in Artificial Intelligence and Applications. <10.3233/978-1-61499-419-0-87>. <hal-01215599>
  • Paolo 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, Jul 2014, Montpellier, France. Springer, 443, pp.434-443, Communications in Computer and Information Science. <10.1007/978-3-319-08855-6_44>. <hal-01217159>
  • Nawal Benabbou, Patrice Perny, Paolo Viappiani. Apprentissage des paramètres d'une intégrale de Choquet par regret minimax. ROADEF - 15ème congrès annuel de la Société française de recherche opérationnelle et d'aide à la décision, Feb 2014, Bordeaux, France. <hal-00946359>
  • Paolo Viappiani. Tutoriel : Principled Approaches to Preference Learning. ROADEF - 15ème congrès annuel de la Société française de recherche opérationnelle et d'aide à la décision, Feb 2014, Bordeaux, France. <hal-00946277>
  • Paolo Viappiani. Thompson Sampling for Bayesian Bandits with Resets. The 3rd International Conference on Algorithmic Decision Theory, ADT 2013, Nov 2013, Bruxelles, Belgium. Springer Berlin Heidelberg, 8176, pp.399-410, Lecture Notes in Computer Science. <10.1007/978-3-642-41575-3_31>. <hal-01215254>
  • Paolo Viappiani, Christian Kroer. Robust Optimization of Recommendation Sets with the Maximin Utility Criterion. The 3rd International Conference on Algorithmic Decision Theory, ADT 2013, Nov 2013, Bruxelles, Belgium. Springer Berlin Heidelberg, 8176, pp.411-424, Lecture Notes in Computer Science. <10.1007/978-3-642-41575-3_32>. <hal-01215255>
  • Alexis Tsoukiàs, Paolo Viappiani. Tutorial on preference handling. ACM Conference on Recommender System (RecSys), Oct 2013, Hong Kong, China. pp.497-498, <10.1145/2507157.2508065>. <hal-01215237>
  • Paolo Viappiani, Patrice Perny, Christophe Gonzales. Elicitation of Non-linear Utility Models. European Conference on Operations Research, Jul 2013, Rome, Italy. Preference Learning stream. <hal-01215259>
  • Frédéric Borzee, Vincent Mousseau, Marc Pirlot, Xavier Siebert, Paolo Viappiani. Bayesian Recommendations and Utility Elicitation with Intensity of Preference Statements. European Conference on Operational Research, EURO 2013, Jul 2013, Rome, Italy. Preference Learning stream. <hal-01217350>

Article dans une revue2 documents

  • Gabriella Pigozzi, Alexis Tsoukiàs, Paolo Viappiani. Preferences in Artificial Intelligence. Annals of Mathematics and Artificial Intelligence, Springer Verlag, 2016, 77 (3-4), pp.361-401. <10.1007/s10472-015-9475-5>. <hal-01222363>
  • Nawal Benabbou, Christophe Gonzales, Patrice Perny, Paolo Viappiani. Minimax Regret Approaches for Preference Elicitation with Rank-Dependent Aggregators. EURO Journal on Decision Processes, 2015, 3 (1-2), pp.29-64. <10.1007/s40070-015-0040-6>. <hal-01170030>

Direction d'ouvrage, Proceedings1 document

  • Manfred Jaeger, Thomas Dyhre Nielsen, Paolo Viappiani. Twelfth Scandinavian Conference on Artificial Intelligence, SCAI 2013, Aalborg, Denmark, November 20-22, 2013. Twelfth Scandinavian Conference on Artificial Intelligence, SCAI 2013, Nov 2013, Aalborg, Denmark. 257, IOS Press, 2013, Frontiers in Artificial Intelligence and Applications, 978-1-61499-329-2, 978-1-61499-3. <hal-01222064>