Paolo Viappiani

Documents

Publications

	Modélisation du caractère séquentiel des repas pour améliorer la performance d'un système de recommandation alimentaire Noémie Jacquet , Vincent Guigue , Cristina Manfredotti , Fatiha Saïs , Stéphane Dervaux Extraction et Gestion des Connaissances (EGC 2024), Jan 2024, Dijon, France Conference papers hal-04440140v1
	Social Ranking under Incomplete Knowledge: Elicitation of the Lex-cel Necessary Winners Sébastien Konieczny , Stefano Moretti , Ariane Ravier , Paolo Viappiani 16th International Conference on Scalable Uncertainty Management. SUM 2024., Nov 2024, Palermo, Italy Conference papers hal-04750114v1
	Environmentally-Aware Bundle Recommendation Using the Choquet Integral Marco Bronzini , Erich Robbi , Paolo Viappiani , Andrea Passerini 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023), Sep 2023, Krakow, Poland, Poland. pp.3182--3189, ⟨10.3233/FAIA230639⟩ Conference papers hal-04292392v1
	An Efficient Non-Bayesian Approach for Interactive Preference Elicitation Under Noisy Preference Models Samira Pourkhajouei , Federico Toffano , Paolo Viappiani , Nic Wilson The 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Sep 2023, Arras, France Conference papers hal-04292429v1
	Selecting the Most Relevant Elements from a Ranking over Sets Sébastien Konieczny , Stefano Moretti , Ariane Ravier , Paolo Viappiani Scalable Uncertainty Management. SUM 2022., Oct 2022, Paris, France. pp.172-185, ⟨10.1007/978-3-031-18843-5_12⟩ Conference papers hal-03831392v1
	Efficient Exact Computation of Setwise Minimax Regret for Interactive Preference Elicitation Federico Toffano , Paolo Viappiani , Nic 2021 Wilson 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), May 2021, Online, United Kingdom Conference papers hal-03142685v1
	Preference Aggregation in the Generalised Unavailable Candidate Model Arnaud Grivet Sébert , Nicolas Maudet , Patrice Perny , Paolo Viappiani 7th International Conference on Algorithmic Decision Theory, University of Toulouse, Nov 2021, Toulouse, France. pp.35-50, ⟨10.1007/978-3-030-87756-9_3⟩ Conference papers hal-03384439v1
	Rank Aggregation by Dissatisfaction Minimisation in the Unavailable Candidate Model Arnaud Grivet Sébert , Nicolas Maudet , Patrice Perny , Paolo Viappiani 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), May 2021, Online, United Kingdom. pp.1518-1520, ⟨10.5555/3463952.3464145⟩ Conference papers hal-03142810v1
	A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty Cristina Manfredotti , Paolo Viappiani The 18th International Conference on Modeling Decisions for Artificial Intelligence, Sep 2021, Umea (Online), Sweden Conference papers hal-03226300v1
	Simultaneous Elicitation of Scoring Rule and Agent Preferences for Robust Winner Determination Beatrice Napolitano , Olivier Cailloux , Paolo Viappiani Algorithmic Decision Theory (ADT 2021), Nov 2021, Toulouse, France. pp.51-67, ⟨10.1007/978-3-030-87756-9_4⟩ Conference papers hal-03384433v1
	Incremental Elicitation of Capacities for the Sugeno Integral with a Maximin Approach Agnès Rico , Paolo Viappiani 14th International Conference on Scalable Uncertainty Management (SUM 2020), Sep 2020, Bolzano, Italy Conference papers hal-02899193v1
	Agent-based ordinal classification for group decision making Ons Nefla , Imène Brigui , Paolo Viappiani , Oussama Raboun The 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'20), Dec 2020, Melbourne (en virtuel), Australia Conference papers hal-03037304v1
	Group-based Ordinal Classification based on a Negotiation Process Ons Nefla , Meltem Öztürk , Paolo Viappiani , Imène Brigui-Chtioui , Oussama Raboun Rencontre des Jeunes Chercheur·ses en Intelligence Artificielle, Jul 2020, Angers, France. pp.50-52 Conference papers hal-03094648v1
	Efficient Exact Computation of Setwise Minimax Regret Federico Toffano , Nic Wilson , Paolo Viappiani The 19th workshop on Constraint Modelling and Reformulation (ModRef 2020), Sep 2020, Louvain-la-Neuve, Belgium Conference papers hal-03016152v1
	Bayesian Vote Elicitation for Group Recommendations Maeva Caillat , Nicolas N. Darcel , Cristina Manfredotti , Paolo Viappiani From Multiple Criteria Decision Aid to Preference Learning (DA2PL 2020), Andrea Passerini (University of Trento); Vincent Mousseau (Centrale Supelec), Nov 2020, Trento, Italy Conference papers hal-03006639v1
	Interactive Elicitation of a Majority Rule Sorting Model with Maximum Margin Optimization Ons Nefla , Meltem Öztürk , Paolo Viappiani , Imène Brigui-Chtioui ADT 2019 - 6th International Conference on Algorithmic Decision Theory, Oct 2019, Durham, NC, United States Conference papers hal-02285040v1
	Simultaneous Elicitation of Committee and Voters' Preferences Beatrice Napolitano , Olivier Cailloux , Paolo Viappiani Rencontres des Jeunes Chercheurs en Intelligence Artificielle 2019, Jul 2019, Toulouse, France. pp.59-62 Conference papers hal-02160455v1
	Positional Scoring Rules with Uncertain Weights Paolo Viappiani SUM 2018: Scalable Uncertainty Management, Oct 2018, Milan, Italy. pp.306-320, ⟨10.1007/978-3-030-00461-3_21⟩ Conference papers hal-01983344v1
	Constructive Preference Elicitation for Multiple Users with Setwise Maxmargin Stefano Teso , Paolo Viappiani , Andrea Passerini ADT 2017, the 5th International Conference on Algorithmic Decision Theory, Oct 2017, Luxembourg, Luxembourg Conference papers hal-01596067v1
	Incremental Decision Making Under Risk with the Weighted Expected Utility Model Hugo Gilbert , Nawal Benabbou , Patrice Perny , Olivier Spanjaard , Paolo Viappiani 26th International Joint Conference on Artificial Intelligence (IJCAI'17), Aug 2017, Melbourne, Australia Conference papers hal-01515989v1
	Constructive Preference Elicitation by Setwise Max-Margin Learning Stefano Teso , Andrea Passerini , Paolo Viappiani International Joint Conference on Artificial Intelligence (IJCAI-16), Jul 2016, New York, United States. pp.2067-2073 Conference papers hal-01359521v1
	A regret-based preference elicitation approach for sorting with multicriteria reference profiles Nawal Benabbou , Patrice Perny , Paolo Viappiani From Multicriteria Decision Making to Preference Learning (DA2PL'16), Nov 2016, Paderborn, Germany Conference papers hal-01423287v1
	Incremental Preference Elicitation in Multi-Attribute Domains for Choice and Ranking with the Borda Count Nawal Benabbou , Serena Di Sabatino Di Diodoro , Patrice Perny , Paolo Viappiani The tenth International Conference on Scalable Uncertainty Management, Sep 2016, Nice, France. pp.81-95, ⟨10.1007/978-3-319-45856-4_6⟩ Conference papers hal-01342500v1
	Incremental Preference Elicitation for Decision Making Under Risk with the Rank-Dependent Utility Model Patrice Perny , Paolo Viappiani , Abdellah Boukhatem Uncertainty in Artificial Intelligence, Jun 2016, New York, United States Conference papers hal-01345457v1
	Model-Free Reinforcement Learning with Skew-Symmetric Bilinear Utilities Hugo Gilbert , Bruno Zanuttini , Paolo Viappiani , Paul Weng , Esther Nicart 32nd Conference on Uncertainty in Artificial Intelligence (UAI~2016), Jun 2016, New York City, United States Conference papers hal-01356085v1
	Tri multicritère intéractif basé sur le concept de regret : approches avec seuils de préférences ou profils de référence Nawal Benabbou , Patrice Perny , Paolo Viappiani 17ème congrès annuel de la société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF 2016), Feb 2016, Compiègne, France Conference papers hal-02076643v1
	Solving MDPs with Skew Symmetric Bilinear Utility Functions Hugo Gilbert , Olivier Spanjaard , Paolo Viappiani , Paul Weng 24th International Joint Conference on Artificial Intelligence (IJCAI-15), Jul 2015, Buenos Aires, Argentina. pp.1989-1995 Conference papers hal-01212802v1
	Characterization of Scoring Rules with Distances: Application to the Clustering of Rankings Paolo Viappiani The Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), Jul 2015, Buenos Aires, Argentina. pp.104-110 Conference papers hal-01359528v1
	Reducing the Number of Queries in Interactive Value Iteration Hugo Gilbert , Olivier Spanjaard , Paolo Viappiani , Paul Weng 4th International Conference on Algorithmic Decision Theory (ADT 2015), Sep 2015, Lexington, KY, United States. pp.139-152, ⟨10.1007/978-3-319-23114-3_9⟩ Conference papers hal-01213280v1
	Processus décisionnels de Markov avec un tournoi valué sur les politiques Hugo Gilbert , Olivier Spanjaard , Paolo Viappiani , Paul Weng 16ème congrès annuel de la Société française de recherche opérationnelle et d’aide à la décision (ROADEF), Feb 2015, Marseille, France Conference papers hal-01214859v1
	Apprentissage des paramètres d'une intégrale de Choquet par regret minimax Nawal Benabbou , Patrice Perny , Paolo Viappiani ROADEF - 15ème congrès annuel de la Société française de recherche opérationnelle et d'aide à la décision, Société française de recherche opérationnelle et d'aide à la décision, Feb 2014, Bordeaux, France Conference papers hal-00946359v1
	Preference Modeling and Preference Elicitation: An Overview. Paolo Viappiani The First International Workshop on Decision Making and Recommender Systems (DMRS2014), Sep 2014, Bolzano, Italy. pp.19-24 Conference papers hal-01212730v1
	Incremental Elicitation of Choquet Capacities for Multicriteria Decision Making Nawal Benabbou , Patrice Perny , Paolo Viappiani The 21st European Conference on Artificial Intelligence (ECAI'14), Aug 2014, Prague, Czech Republic. pp.87-92, ⟨10.3233/978-1-61499-419-0-87⟩ Conference papers hal-01215599v1
	Tutoriel : Principled Approaches to Preference Learning Paolo Viappiani ROADEF - 15ème congrès annuel de la Société française de recherche opérationnelle et d'aide à la décision, Société française de recherche opérationnelle et d'aide à la décision, Feb 2014, Bordeaux, France Conference papers hal-00946277v1
	Aggregation of Uncertain Qualitative Preferences for a Group of Agents Paolo Viappiani 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2014, Jul 2014, Montpellier, France. pp.434-443, ⟨10.1007/978-3-319-08855-6_44⟩ Conference papers hal-01217159v1
	Teacher-Student Framework: a Reinforcement Learning Approach Matthieu Zimmer , Paolo Viappiani , Paul Weng AAMAS Workshop Autonomous Robots and Multirobot Systems, May 2014, Paris, France Conference papers hal-01215273v1
	Tutorial on preference handling Alexis Tsoukiàs , Paolo Viappiani ACM Conference on Recommender System (RecSys), Oct 2013, Hong Kong, China. pp.497-498, ⟨10.1145/2507157.2508065⟩ Conference papers hal-01215237v1
	Thompson Sampling for Bayesian Bandits with Resets Paolo Viappiani The 3rd International Conference on Algorithmic Decision Theory, ADT 2013, Nov 2013, Bruxelles, Belgium. pp.399-410, ⟨10.1007/978-3-642-41575-3_31⟩ Conference papers hal-01215254v1
	Elicitation of Non-linear Utility Models Paolo Viappiani , Patrice Perny , Christophe Gonzales European Conference on Operations Research, Jul 2013, Rome, Italy Conference papers hal-01215259v1
	Bayesian Recommendations and Utility Elicitation with Intensity of Preference Statements Frédéric Borzee , Vincent Mousseau , Marc Pirlot , Xavier Siebert , Paolo Viappiani European Conference on Operational Research, EURO 2013, Jul 2013, Rome, Italy Conference papers hal-01217350v1
	Robust Optimization of Recommendation Sets with the Maximin Utility Criterion Paolo Viappiani , Christian Kroer The 3rd International Conference on Algorithmic Decision Theory, ADT 2013, Nov 2013, Bruxelles, Belgium. pp.411-424, ⟨10.1007/978-3-642-41575-3_32⟩ Conference papers hal-01215255v1

	Personalized Algorithmic Recourse with Preference Elicitation Giovanni de Toni , Paolo Viappiani , Stefano Teso , Bruno Lepri , Andrea Passerini Transactions on Machine Learning Research Journal, 2024, ⟨https://doi.org/10.48550/arXiv.2205.13743⟩ Journal articles hal-04774128v1
	Volumetric Aggregation Methods for Scoring Rules with Unknown Weights Paolo Viappiani Group Decision and Negotiation, 2024, 33 (3), pp.515-563. ⟨10.1007/s10726-023-09872-8⟩ Journal articles hal-04440153v1
	Personalized bundle recommendation using preference elicitation and the Choquet integral Erich Robbi , Marco Bronzini , Paolo Viappiani , Andrea Passerini Frontiers in Artificial Intelligence, 2024, 7, ⟨10.3389/FRAI.2024.1346684⟩ Journal articles hal-04778933v1
	Principles and Validations of an Artificial Intelligence-Based Recommender System Suggesting Acceptable Food Changes Jules Vandeputte , Pierrick Herold , Mykyt Kuslii , Paolo Viappiani , Laurent Muller Journal of Nutrition, 2023, 153 (2), pp.598-604. ⟨10.1016/j.tjnut.2022.12.022⟩ Journal articles hal-03975185v1
	Robust Winner Determination in Positional Scoring Rules with Uncertain Weights Paolo Viappiani Theory and Decision, 2020, 88 (3), pp.323-367. ⟨10.1007/s11238-019-09734-3⟩ Journal articles hal-02373399v1
	On the equivalence of optimal recommendation sets and myopically optimal query sets Paolo Viappiani , Craig Boutilier Artificial Intelligence, 2020, 286, pp.103328. ⟨10.1016/j.artint.2020.103328⟩ Journal articles hal-02898192v1
	Incremental elicitation of choquet capacities for multicriteria choice, ranking and sorting problems Nawal Benabbou , Patrice Perny , Paolo Viappiani Artificial Intelligence, 2017, 246, pp.152-180. ⟨10.1016/j.artint.2017.02.001⟩ Journal articles hal-01480147v3
	Preferences in Artificial Intelligence Gabriella Pigozzi , Alexis Tsoukiàs , Paolo Viappiani Annals of Mathematics and Artificial Intelligence, 2016, 77 (3-4), pp.361-401. ⟨10.1007/s10472-015-9475-5⟩ Journal articles hal-01222363v1
	Minimax Regret Approaches for Preference Elicitation with Rank-Dependent Aggregators Nawal Benabbou , Christophe Gonzales , Patrice Perny , Paolo Viappiani EURO Journal on Decision Processes, 2015, 3 (1-2), pp.29-64. ⟨10.1007/s40070-015-0040-6⟩ Journal articles hal-01170030v1

	An EXplainable RecommandER SYStem for the Nutrition Domain, combining Knowledge Graphs and Machine Learning Noémie Jacquet , Cristina Manfredotti , Vincent Guigue , Fatiha Saïs , Paolo Viappiani 2023 Other publications hal-04439592v1

	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) Dietmar Jannach , Jérôme Mengin , Bamshad Mobasher , Andrea Passerini , Paolo Viappiani Dietmar Jannach; Jérôme Mengin; Bamshad Mobasher; Andrea Passerini; Paolo Viappiani. IJCAI Joint Workshop on Constraints and Preferences for Configuration and Recommendation and Intelligent Techniques for Web Personalization (CPCR+ITWP 2015), Jul 2015, Buenos Aires, Argentina. 1440, CEUR Workshop Proceedings, 2016 Proceedings hal-03155054v1
	Twelfth Scandinavian Conference on Artificial Intelligence, SCAI 2013, Aalborg, Denmark, November 20-22, 2013 Manfred Jaeger , Thomas Dyhre Nielsen , Paolo Viappiani 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 Proceedings hal-01222064v1

Paolo Viappiani

Publications

Modélisation du caractère séquentiel des repas pour améliorer la performance d'un système de recommandation alimentaire

Social Ranking under Incomplete Knowledge: Elicitation of the Lex-cel Necessary Winners

Environmentally-Aware Bundle Recommendation Using the Choquet Integral

An Efficient Non-Bayesian Approach for Interactive Preference Elicitation Under Noisy Preference Models

Selecting the Most Relevant Elements from a Ranking over Sets

Efficient Exact Computation of Setwise Minimax Regret for Interactive Preference Elicitation

Preference Aggregation in the Generalised Unavailable Candidate Model

Rank Aggregation by Dissatisfaction Minimisation in the Unavailable Candidate Model

A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty

Simultaneous Elicitation of Scoring Rule and Agent Preferences for Robust Winner Determination

Incremental Elicitation of Capacities for the Sugeno Integral with a Maximin Approach

Agent-based ordinal classification for group decision making

Group-based Ordinal Classification based on a Negotiation Process

Efficient Exact Computation of Setwise Minimax Regret

Bayesian Vote Elicitation for Group Recommendations

Interactive Elicitation of a Majority Rule Sorting Model with Maximum Margin Optimization

Simultaneous Elicitation of Committee and Voters' Preferences

Positional Scoring Rules with Uncertain Weights

Constructive Preference Elicitation for Multiple Users with Setwise Maxmargin

Incremental Decision Making Under Risk with the Weighted Expected Utility Model

Constructive Preference Elicitation by Setwise Max-Margin Learning

A regret-based preference elicitation approach for sorting with multicriteria reference profiles

Incremental Preference Elicitation in Multi-Attribute Domains for Choice and Ranking with the Borda Count

Incremental Preference Elicitation for Decision Making Under Risk with the Rank-Dependent Utility Model

Model-Free Reinforcement Learning with Skew-Symmetric Bilinear Utilities

Tri multicritère intéractif basé sur le concept de regret : approches avec seuils de préférences ou profils de référence

Solving MDPs with Skew Symmetric Bilinear Utility Functions

Characterization of Scoring Rules with Distances: Application to the Clustering of Rankings

Reducing the Number of Queries in Interactive Value Iteration

Processus décisionnels de Markov avec un tournoi valué sur les politiques

Apprentissage des paramètres d'une intégrale de Choquet par regret minimax

Preference Modeling and Preference Elicitation: An Overview.

Incremental Elicitation of Choquet Capacities for Multicriteria Decision Making

Tutoriel : Principled Approaches to Preference Learning

Aggregation of Uncertain Qualitative Preferences for a Group of Agents

Teacher-Student Framework: a Reinforcement Learning Approach

Tutorial on preference handling

Thompson Sampling for Bayesian Bandits with Resets

Elicitation of Non-linear Utility Models

Bayesian Recommendations and Utility Elicitation with Intensity of Preference Statements

Robust Optimization of Recommendation Sets with the Maximin Utility Criterion

Personalized Algorithmic Recourse with Preference Elicitation

Volumetric Aggregation Methods for Scoring Rules with Unknown Weights

Personalized bundle recommendation using preference elicitation and the Choquet integral

Principles and Validations of an Artificial Intelligence-Based Recommender System Suggesting Acceptable Food Changes

Robust Winner Determination in Positional Scoring Rules with Uncertain Weights

On the equivalence of optimal recommendation sets and myopically optimal query sets

Incremental elicitation of choquet capacities for multicriteria choice, ranking and sorting problems

Preferences in Artificial Intelligence

Minimax Regret Approaches for Preference Elicitation with Rank-Dependent Aggregators

An EXplainable RecommandER SYStem for the Nutrition Domain, combining Knowledge Graphs and Machine Learning

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)

Twelfth Scandinavian Conference on Artificial Intelligence, SCAI 2013, Aalborg, Denmark, November 20-22, 2013