| 2026 | CPAIOR | Computing Minimax Regret by Bounding the Weight Space From Within and Without. | Guillaume Escamocher, Paolo Viappiani, Nic Wilson |
| 2026 | GECCO | MO-CEM-RL : Multi-Objective Cross Entropy Method Reinforcement Learning. | Fars Chouaki, Aurlie Beynier, Nicolas Maudet, Paolo Viappiani |
| 2026 | SAC | Personalized Sequence Generation in Food Recommender Systems. | Alexandre Combeau, Vincent Guigue, Cristina E. Manfredotti, Fatiha Sas, Stphane Dervaux, Paolo Viappiani |
| 2025 | ECAI | From Order Lifting to Social Ranking: Recovering Preferences from Partial Extensions. | Ariane Ravier, Sbastien Konieczny, Stefano Moretti, Paolo Viappiani |
| 2023 | ECAI | Environmentally-Aware Bundle Recommendation Using the Choquet Integral. | Marco Bronzini, Erich Robbi, Paolo Viappiani, Andrea Passerini |
| 2023 | ECSQARU | An Efficient Non-Bayesian Approach for Interactive Preference Elicitation Under Noisy Preference Models. | Samira Pourkhajouei, Federico Toffano, Paolo Viappiani, Nic Wilson |
| 2021 | MDAI | A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty. | Cristina E. Manfredotti, Paolo Viappiani |
| 2017 | IJCAI | Incremental Decision Making Under Risk with the Weighted Expected Utility Model. | Hugo Gilbert, Nawal Benabbou, Patrice Perny, Olivier Spanjaard, Paolo Viappiani |
| 2016 | IJCAI | Constructive Preference Elicitation by Setwise Max-Margin Learning. | Stefano Teso, Andrea Passerini, Paolo Viappiani |
| 2016 | UAI | Model-Free Reinforcement Learning with Skew-Symmetric Bilinear Utilities. | Hugo Gilbert, Bruno Zanuttini, Paul Weng, Paolo Viappiani, Esther Nicart |
| 2016 | UAI | Incremental Preference Elicitation for Decision Making Under Risk with the Rank-Dependent Utility Model. | Patrice Perny, Paolo Viappiani, Abdellah Boukhatem |
| 2015 | IJCAI | Solving MDPs with Skew Symmetric Bilinear Utility Functions. | Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng |
| 2015 | IJCAI | Characterization of Scoring Rules with Distances: Application to the Clustering of Rankings. | Paolo Viappiani |
| 2014 | ECAI | Incremental Elicitation of Choquet Capacities for Multicriteria Decision Making. | Nawal Benabbou, Patrice Perny, Paolo Viappiani |
| 2014 | IPMU | Aggregation of Uncertain Qualitative Preferences for a Group of Agents. | Paolo Viappiani |
| 2013 | RecSys | Tutorial on preference handling. | Alexis Tsoukis, Paolo Viappiani |
| 2011 | AAAI | Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff! | Paolo Viappiani, Craig Boutilier |
| 2011 | AAAI | A Bayesian Concept Learning Approach to Crowdsourcing. | Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier |
| 2011 | IJCAI | A Bayesian Concept Learning Approach to Crowdsourcing. | Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier |
| 2010 | AAAI | Simultaneous Elicitation of Preference Features and Utility. | Craig Boutilier, Kevin Regan, Paolo Viappiani |
| 2009 | ICML | Online feature elicitation in interactive optimization. | Craig Boutilier, Kevin Regan, Paolo Viappiani |
| 2009 | IJCAI | Optimal Set Recommendations Based on Regret. | Paolo Viappiani, Craig Boutilier |
| 2009 | RecSys | Preference elicitation with subjective features. | Craig Boutilier, Kevin Regan, Paolo Viappiani |
| 2009 | RecSys | Regret-based optimal recommendation sets in conversational recommender systems. | Paolo Viappiani, Craig Boutilier |
| 2007 | RecSys | Conversational recommenders with adaptive suggestions. | Paolo Viappiani, Pearl Pu, Boi Faltings |
| 2006 | AAAI | Evaluating Preference-based Search Tools: A Tale of Two Approaches. | Paolo Viappiani, Boi Faltings, Pearl Pu |
| 2006 | CHI | Increasing user decision accuracy using suggestions. | Pearl Pu, Paolo Viappiani, Boi Faltings |
| 2006 | FQAS | The Lookahead Principle for Preference Elicitation: Experimental Results. | Paolo Viappiani, Boi Faltings, Pearl Pu |
| 2006 | ICWE | Implementing example-based tools for preference-based search. | Paolo Viappiani, Boi Faltings |
| 2006 | WISE | Design and Implementation of Preference-Based Search. | Paolo Viappiani, Boi Faltings |
| 2004 | IUI | Designing example-critiquing interaction. | Boi Faltings, Pearl Pu, Marc Torrens, Paolo Viappiani |