List of Publications
Go to my page: Paolo VIAPPIANI
Updated on October, 2, 2023
not including informal publications at workshops and symposia
2024
- Paolo Viappiani. Volumetric Aggregation Methods for Scoring Rules with Unknown Weights. Group Decision and Negotiation, 2024. [editor link; PDF]
- Erich Robbi, Marco Bronzini, Paolo Viappiani and Andrea Passerini. Personalized Bundle Recommendation Using Preference Elicitation and the Choquet Integral. Frontiers in Artificial Intelligence, 2024. [editor link; PDF]
- Giovanni De Toni, Paolo Viappiani, Stefano Teso, Bruno Lepri, Andrea Passerini. Personalized Algorithmic Recourse with Preference Elicitation. Transactions on Machine Learning Research, 01-2024. 2024. [editor link; PDF]
2023
- Samira Pourkhajouei, Federico Toffano, Paolo Viappiani and Nic Wilson. An Efficient Non-Bayesian Approach for Interactive Preference Elicitation Under Noisy Preference Models, ECSQARU 2023 (best student paper award) [editor; PDF]
- Marco Bronzini, Erich Robbi, Paolo Viappiani, Andrea Passerini. Environmentally-Aware Bundle Recommendation Using the Choquet Integral. PAIS 2023 (co-located with ECAI)
- Vandeputte J., Herold P., Kuslii M., Viappiani P., Muller L., Martin C., Davidenko O., Delaere F., Manfredotti C., Cornuéjols A., Darcel N., Principles and Validations of an Artificial Intelligence-Based Recommender System Suggesting Acceptable Food Changes, The Journal of Nutrition, vol. 153, n°2, p. 598-604, 2023.
2022
- Sébastien Konieczny, Stefano Moretti, Ariane Ravier, Paolo Viappiani. Selecting the Most Relevant Elements from a Ranking over Sets. SUM 2022: 172-185 [editor; PDF]
2021
- Arnaud Grivet Sébert, Nicolas Maudet, Patrice Perny, Paolo Viappiani. Preference Aggregation in the Generalised Unavailable Candidate Model. ADT 2021: 35-50,
- Beatrice Napolitano, Olivier Cailloux, Paolo Viappiani. Simultaneous Elicitation of Scoring Rule and Agent Preferences for Robust Winner Determination. ADT 2021: 51-67. [PDF]
- Federico Toffano, Paolo Viappiani, Nic Wilson. Efficient Exact Computation of Setwise Minimax Regret for Interactive Preference Elicitation. AAMAS 2021: 1326-1334 [PDF]
- Arnaud Grivet Sébert, Nicolas Maudet, Patrice Perny, Paolo Viappiani. Rank Aggregation by Dissatisfaction Minimisation in the Unavailable Candidate Model. AAMAS 2021, 1518-1520.
- Cristina E. Manfredotti, Paolo Viappiani. A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty. MDAI 2021, 93-105.
2020
- Paolo Viappiani, Craig Boutilier. On the equivalence of optimal recommendation sets and myopically optimal query sets. Artificial Intelligence 286, n. 103328 (62 pages), 2020.
- Paolo Viappiani. Robust winner determination in positional scoring rules with uncertain weights. Theory and Decision, 88, 323–367 (2020).
- Agnés Rico, Paolo Viappiani. Incremental Elicitation of Capacities for the Sugeno Integral with a Maximin Approach. Scalable Uncertainty Management (SUM 2020).
2019
- Ons Nefla, Meltem Öztürk, Paolo Viappiani, Imène Brigui-Chtioui. Interactive Elicitation of a Majority Rule Sorting Model with Maximum Margin Optimization. ADT 2019: 141-157.
2018
- Paolo Viappiani. Positional Scoring Rules with Uncertain Weights. SUM 2018, 306-320.
2017
- Nawal Benabbou, Patrice Perny, Paolo Viappiani. Incremental elicitation of Choquet capacities for multicriteria choice, ranking and sorting problems. Artificial Intelligence 246: 152-180 (2017)
- Stefano Teso, Andrea Passerini, Paolo Viappiani. Constructive Preference Elicitation for Multiple Users with Setwise Max-margin. ADT 2017: 3-17.
- Hugo Gilbert, Nawal Benabbou, Patrice Perny, Olivier Spanjaard, Paolo Viappiani. Incremental Decision Making Under Risk with the Weighted Expected Utility Model. IJCAI 2017: 4588-4594.
2016
- Gabriella Pigozzi, Alexis Tsoukiàs, Paolo Viappiani. Preferences in artificial intelligence. Annals of Mathematics and Artificial Intelligence 77(3-4): 361-401 (2016).
- Stefano Teso, Andrea Passerini, Paolo Viappiani. Constructive Preference Elicitation by Setwise Max-Margin Learning. IJCAI 2016, 2067-2073.
- 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. SUM 2016, 81-95.
- Hugo Gilbert, Bruno Zanuttini, Paul Weng, Paolo Viappiani, Esther Nicart. Model-Free Reinforcement Learning with Skew-Symmetric Bilinear Utilities. UAI 2016.
- Patrice Perny, Paolo Viappiani, Abdellah Boukhatem. Incremental Preference Elicitation for Decision Making Under Risk with the Rank-Dependent Utility Model. UAI 2016.
2015
- Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng. Reducing the Number of Queries in Interactive Value Iteration. ADT 2015, 139-152
- Paolo Viappiani. Characterization of Scoring Rules with Distances: Application to the Clustering of Rankings. IJCAI 2015, 104-110.
- Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng. Solving MDPs with Skew Symmetric Bilinear Utility Functions. IJCAI 2015, 1989-1995.
- Dietmar Jannach, Jérôme Mengin, Bamshad Mobasher, Andrea Passerini, Paolo Viappiani (editors). 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. CEUR Workshop Proceedings 1440, CEUR-WS.org 2015
2014
- Paolo Viappiani. Preference Modeling and Preference Elicitation: An Overview. DMRS 2014: 19-24.
- Nawal Benabbou, Patrice Perny, Paolo Viappiani. Incremental Elicitation of Choquet Capacities for Multicriteria Decision Making. ECAI 2014, 87-92. (best student paper award)
- Paolo Viappiani. Aggregation of Uncertain Qualitative Preferences for a Group of Agents. IPMU 2014, 434-443.
2013
- Paolo Viappiani. Thompson Sampling for Bayesian Bandits with Resets. ADT 2013, 399-410.
- Paolo Viappiani, Christian Kroer. Robust Optimization of Recommendation Sets with the Maximin Utility Criterion. ADT 2013: 411-424
- Alexis Tsoukiàs, Paolo Viappiani. Tutorial on preference handling. RecSys 2013, 497-498.
- Manfred Jaeger, Thomas Dyhre Nielsen, Paolo Viappiani (editors). Twelfth Scandinavian Conference on Artificial Intelligence (Proceedings), SCAI 2013, Frontiers in Artificial Intelligence and Applications 257, IOS Press 2013.
2012
- Paolo Viappiani. Monte Carlo Methods for Preference Learning. LION 2012, 503-508.
2011
- Paolo Viappiani, Craig Boutilier. Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff! AAAI 2011, 1571-1574. NECTAR track
- Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier. A Bayesian Concept Learning Approach to Crowdsourcing. Interactive Decision Theory and Game Theory 2011.
- Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier. Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach. ADT 2011: 277-291.
- Pearl Pu, Boi Faltings, Li Chen, Jiyong Zhang, Paolo Viappiani. Usability Guidelines for Product Recommenders Based on Example Critiquing Research. Recommender Systems Handbook 2011: 511-545.
2010
- Craig Boutilier, Kevin Regan, Paolo Viappiani. Simultaneous Elicitation of Preference Features and Utility. AAAI 2010: 1160-1167 poster+oral
- Paolo Viappiani, Craig Boutilier. Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets. NIPS 2010: 2352-2360. spotlight presentation
2009
- Craig Boutilier, Kevin Regan, Paolo Viappiani. Online feature elicitation in interactive optimization. ICML 2009, 73-80.
- Paolo Viappiani, Craig Boutilier. Regret-based optimal recommendation sets in conversational recommender systems. RecSys 2009, 101-108.
- Craig Boutilier, Kevin Regan, Paolo Viappiani. Preference elicitation with subjective features. RecSys 2009, 341-344.
2008
- Paolo Viappiani, Pearl Pu, Boi Faltings. Preference-based search with adaptive recommendations. AI Communications. 21(2-3): 155-175 (2008).
- Bart Peintner, Paolo Viappiani, Neil Yorke-Smith. Preferences in Interactive Systems: Technical Challenges and Case Studies. AI Magazine. 29(4): 13-24 (2008).
2007
- Paolo Viappiani, Pearl Pu, Boi Faltings. Conversational recommenders with adaptive suggestions. RecSys 2007, 89-96, 2006
2006
- Paolo Viappiani, Boi Faltings, Pearl Pu. Preference-based Search using Example-Critiquing with Suggestions. Journal of Artificial Intelligence Research (JAIR) 27: 465-503 (2006).
- Pearl Pu, Paolo Viappiani, Boi Faltings. Increasing user decision accuracy using suggestions. CHI 2006: 121-130.
- Paolo Viappiani, Boi Faltings. Design and Implementation of Preference-Based Search. WISE 2006, 72-83.
- Paolo Viappiani, Boi Faltings. Implementing example-based tools for preference-based search. ICWE 2006, 89-90.
- Paolo Viappiani, Boi Faltings, Pearl Pu. The Lookahead Principle for Preference Elicitation: Experimental Results. FQAS 2006, 378-389.
2004
- Boi Faltings, Pearl Pu, Marc Torrens, Paolo Viappiani. Designing example-critiquing interaction. IUI 2004, 22-29.
Paolo VIAPPIANI
LAMSADE
University Paris Dauphine PSL
Place du Maréchal de Lattre de Tassigny - 75775 PARIS Cedex 16
France
name DOT surname AT lamsade DOT dauphine DOT fr
#paoloviappiani