Paolo Viappiani

67 papers A* 9A 13B 3C 2Journal 13Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Fairness in Cooperative Multi-agent Multi-objective Reinforcement Learning using the Expected Scalarized Return. AAMAS Farès Chouaki, Aurélie Beynier, Nicolas Maudet, Paolo Viappiani
2025	A	`conf`	From Order Lifting to Social Ranking: Recovering Preferences from Partial Extensions. ECAI Ariane Ravier, Sébastien Konieczny, Stefano Moretti, Paolo Viappiani
2025	J	`jnl`	Interactive preference elicitation under noisy preference models: An efficient non-Bayesian approach. Int. J. Approx. Reason. Guillaume Escamocher, Samira Pourkhajouei, Federico Toffano, Paolo Viappiani, Nic Wilson
2025	—	`conf`	NutriKG - un graphe de connaissances pour modéliser les préférences et les besoins nutritionnels. IC Alexandre Combeau, Fatiha Saïs, Naggeta Kumari, Stéphane Dervaux, Cristina E. Manfredotti, Vincent Guigue, Paolo Viappiani
2024	J	`jnl`	Advances in preference handling: foreword. Ann. Math. Artif. Intell. Khaled Belahcène, Sébastien Destercke, Christophe Labreuche, Meltem Öztürk, Paolo Viappiani
2024	—	`conf`	Modélisation du caractère séquentiel des repas pour améliorer la performance d'un système de recommandation alimentaire. EGC Noémie Jacquet, Vincent Guigue, Cristina E. Manfredotti, Fatiha Saïs, Stéphane Dervaux, Paolo Viappiani
2024	J	`jnl`	Personalized Algorithmic Recourse with Preference Elicitation. Trans. Mach. Learn. Res. Giovanni De Toni, Paolo Viappiani, Stefano Teso, Bruno Lepri, Andrea Passerini
2024	J	`jnl`	Personalized bundle recommendation using preference elicitation and the Choquet integral. Frontiers Artif. Intell. Erich Robbi, Marco Bronzini, Paolo Viappiani, Andrea Passerini
2024	—	`conf`	Social Ranking Under Incomplete Knowledge: Elicitation of the Lex-Cel Necessary Winners. SUM Ariane Ravier, Sébastien Konieczny, Stefano Moretti, Paolo Viappiani
2023	C	`conf`	An Efficient Non-Bayesian Approach for Interactive Preference Elicitation Under Noisy Preference Models. ECSQARU Samira Pourkhajouei, Federico Toffano, Paolo Viappiani, Nic Wilson
2023	A	`conf`	Environmentally-Aware Bundle Recommendation Using the Choquet Integral. ECAI Marco Bronzini, Erich Robbi, Paolo Viappiani, Andrea Passerini
2022	J	`jnl`	Generating personalized counterfactual interventions for algorithmic recourse by eliciting user preferences. CoRR Giovanni De Toni, Paolo Viappiani, Bruno Lepri, Andrea Passerini
2022	—	`conf`	Selecting the Most Relevant Elements from a Ranking over Sets. SUM Sébastien Konieczny, Stefano Moretti, Ariane Ravier, Paolo Viappiani
2021	B	`conf`	A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty. MDAI Cristina E. Manfredotti, Paolo Viappiani
2021	A	`conf`	Efficient Exact Computation of Setwise Minimax Regret for Interactive Preference Elicitation. AAMAS Federico Toffano, Paolo Viappiani, Nic Wilson
2021	—	`conf`	Preference Aggregation in the Generalised Unavailable Candidate Model. ADT Arnaud Grivet Sébert, Nicolas Maudet, Patrice Perny, Paolo Viappiani
2021	A	`conf`	Rank Aggregation by Dissatisfaction Minimisation in the Unavailable Candidate Model. AAMAS Arnaud Grivet Sébert, Nicolas Maudet, Patrice Perny, Paolo Viappiani
2021	—	`conf`	Simultaneous Elicitation of Scoring Rule and Agent Preferences for Robust Winner Determination. ADT Beatrice Napolitano, Olivier Cailloux, Paolo Viappiani
2020	—	`conf`	Agent-based ordinal classification for group decision making. WI/IAT Ons Nefla, Imène Brigui, Meltem Öztürk, Paolo Viappiani, Oussama Raboun
2020	—	`conf`	Incremental Elicitation of Capacities for the Sugeno Integral with a Maximin Approach. SUM Agnès Rico, Paolo Viappiani
2020	J	`jnl`	On the equivalence of optimal recommendation sets and myopically optimal query sets. Artif. Intell. Paolo Viappiani, Craig Boutilier
2019	—	`conf`	Interactive Elicitation of a Majority Rule Sorting Model with Maximum Margin Optimization. ADT Ons Nefla, Meltem Öztürk, Paolo Viappiani, Imène Brigui-Chtioui
2019	—	`conf`	Simultaneous Elicitation of Committee and Voters' Preferences. RJCIA Beatrice Napolitano, Olivier Cailloux, Paolo Viappiani
2018	—	`conf`	Positional Scoring Rules with Uncertain Weights. SUM Paolo Viappiani
2017	—	`conf`	Constructive Preference Elicitation for Multiple Users with Setwise Max-margin. ADT Stefano Teso, Andrea Passerini, Paolo Viappiani
2017	A*	`conf`	Incremental Decision Making Under Risk with the Weighted Expected Utility Model. IJCAI Hugo Gilbert, Nawal Benabbou, Patrice Perny, Olivier Spanjaard, Paolo Viappiani
2017	J	`jnl`	Incremental elicitation of Choquet capacities for multicriteria choice, ranking and sorting problems. Artif. Intell. Nawal Benabbou, Patrice Perny, Paolo Viappiani
2016	A*	`conf`	Constructive Preference Elicitation by Setwise Max-Margin Learning. IJCAI Stefano Teso, Andrea Passerini, Paolo Viappiani
2016	J	`jnl`	Constructive Preference Elicitation by Setwise Max-margin Learning. CoRR Stefano Teso, Andrea Passerini, Paolo Viappiani
2016	A	`conf`	Incremental Preference Elicitation for Decision Making Under Risk with the Rank-Dependent Utility Model. UAI Patrice Perny, Paolo Viappiani, Abdellah Boukhatem
2016	—	`conf`	Incremental Preference Elicitation in Multi-attribute Domains for Choice and Ranking with the Borda Count. SUM Nawal Benabbou, Serena Di Sabatino Di Diodoro, Patrice Perny, Paolo Viappiani
2016	A	`conf`	Model-Free Reinforcement Learning with Skew-Symmetric Bilinear Utilities. UAI Hugo Gilbert, Bruno Zanuttini, Paul Weng, Paolo Viappiani, Esther Nicart
2016	J	`jnl`	Preferences in artificial intelligence. Ann. Math. Artif. Intell. Gabriella Pigozzi, Alexis Tsoukiàs, Paolo Viappiani
2015	A*	`conf`	Characterization of Scoring Rules with Distances: Application to the Clustering of Rankings. IJCAI Paolo Viappiani
2015	—	`ed.`	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), Buenos Aires, Argentina, July 27, 2015. CPCR+ITWP@IJCAI Dietmar Jannach, Jérôme Mengin, Bamshad Mobasher, Andrea Passerini, Paolo Viappiani
2015	—	`conf`	Reducing the Number of Queries in Interactive Value Iteration. ADT Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng
2015	A*	`conf`	Solving MDPs with Skew Symmetric Bilinear Utility Functions. IJCAI Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng
2014	—	`conf`	Aggregation of Uncertain Qualitative Preferences for a Group of Agents. IPMU (2) Paolo Viappiani
2014	A	`conf`	Incremental Elicitation of Choquet Capacities for Multicriteria Decision Making. ECAI Nawal Benabbou, Patrice Perny, Paolo Viappiani
2014	—	`conf`	Preference Modeling and Preference Elicitation: An Overview. DMRS Paolo Viappiani
2013	—	`conf`	Robust Optimization of Recommendation Sets with the Maximin Utility Criterion. ADT Paolo Viappiani, Christian Kroer
2013	—	`conf`	Thompson Sampling for Bayesian Bandits with Resets. ADT Paolo Viappiani
2013	A	`conf`	Tutorial on preference handling. RecSys Alexis Tsoukiàs, Paolo Viappiani
2013	—	`ed.`	Twelfth Scandinavian Conference on Artificial Intelligence, SCAI 2013, Aalborg, Denmark, November 20-22, 2013 SCAI Manfred Jaeger, Thomas Dyhre Nielsen, Paolo Viappiani
2012	—	`conf`	Monte Carlo Methods for Preference Learning. LION Paolo Viappiani
2011	—	`conf`	A Bayesian Concept Learning Approach to Crowdsourcing. Interactive Decision Theory and Game Theory Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier
2011	—	`conf`	A Bayesian Concept Learning Approach to Crowdsourcing. ITWP@IJCAI Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier
2011	—	`conf`	Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach. ADT Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier
2011	J	`jnl`	Preference-based Search using Example-Critiquing with Suggestions CoRR Boi Faltings, Pearl Pu, Paolo Viappiani
2011	A*	`conf`	Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff! AAAI Paolo Viappiani, Craig Boutilier
2011	—	`ch.`	Usability Guidelines for Product Recommenders Based on Example Critiquing Research. Recommender Systems Handbook Pearl Pu, Boi Faltings, Li Chen, Jiyong Zhang, Paolo Viappiani
2010	—	`conf`	Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets. NIPS Paolo Viappiani, Craig Boutilier
2010	A*	`conf`	Simultaneous Elicitation of Preference Features and Utility. AAAI Craig Boutilier, Kevin Regan, Paolo Viappiani
2009	A*	`conf`	Online feature elicitation in interactive optimization. ICML Craig Boutilier, Kevin Regan, Paolo Viappiani
2009	—	`conf`	Optimal Set Recommendations Based on Regret. ITWP Paolo Viappiani, Craig Boutilier
2009	A	`conf`	Preference elicitation with subjective features. RecSys Craig Boutilier, Kevin Regan, Paolo Viappiani
2009	A	`conf`	Regret-based optimal recommendation sets in conversational recommender systems. RecSys Paolo Viappiani, Craig Boutilier
2008	J	`jnl`	Preference-based search with adaptive recommendations. AI Commun. Paolo Viappiani, Pearl Pu, Boi Faltings
2008	J	`jnl`	Preferences in Interactive Systems: Technical Challenges and Case Studies. AI Mag. Bart Peintner, Paolo Viappiani, Neil Yorke-Smith
2007	A	`conf`	Conversational recommenders with adaptive suggestions. RecSys Paolo Viappiani, Pearl Pu, Boi Faltings
2006	B	`conf`	Design and Implementation of Preference-Based Search. WISE Paolo Viappiani, Boi Faltings
2006	A*	`conf`	Evaluating Preference-based Search Tools: A Tale of Two Approaches. AAAI Paolo Viappiani, Boi Faltings, Pearl Pu
2006	B	`conf`	Implementing example-based tools for preference-based search. ICWE Paolo Viappiani, Boi Faltings
2006	A*	`conf`	Increasing user decision accuracy using suggestions. CHI Pearl Pu, Paolo Viappiani, Boi Faltings
2006	J	`jnl`	Preference-based Search using Example-Critiquing with Suggestions. J. Artif. Intell. Res. Paolo Viappiani, Boi Faltings, Pearl Pu
2006	C	`conf`	The Lookahead Principle for Preference Elicitation: Experimental Results. FQAS Paolo Viappiani, Boi Faltings, Pearl Pu
2004	A	`conf`	Designing example-critiquing interaction. IUI Boi Faltings, Pearl Pu, Marc Torrens, Paolo Viappiani