Paolo Viappiani

According to our database, Paolo Viappiani authored at least 53 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Samira Pourkhajouei, Federico Toffano, Paolo Viappiani, Nic Wilson

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

Environmentally-Aware Bundle Recommendation Using the Choquet Integral.

Marco Bronzini, Erich Robbi, Paolo Viappiani, Andrea Passerini

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Generating personalized counterfactual interventions for algorithmic recourse by eliciting user preferences.

Giovanni De Toni, Paolo Viappiani, Bruno Lepri, Andrea Passerini

CoRR, 2022

Selecting the Most Relevant Elements from a Ranking over Sets.

Sébastien Konieczny, Stefano Moretti, Ariane Ravier, Paolo Viappiani

Proceedings of the Scalable Uncertainty Management - 15th International Conference, 2022

2021

A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty.

Cristina E. Manfredotti, Paolo Viappiani

Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

Efficient Exact Computation of Setwise Minimax Regret for Interactive Preference Elicitation.

Federico Toffano, Paolo Viappiani, Nic Wilson

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Rank Aggregation by Dissatisfaction Minimisation in the Unavailable Candidate Model.

Arnaud Grivet Sébert, Nicolas Maudet, Patrice Perny, Paolo Viappiani

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Preference Aggregation in the Generalised Unavailable Candidate Model.

Arnaud Grivet Sébert, Nicolas Maudet, Patrice Perny, Paolo Viappiani

Proceedings of the Algorithmic Decision Theory - 7th International Conference, 2021

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

Beatrice Napolitano, Olivier Cailloux, Paolo Viappiani

Proceedings of the Algorithmic Decision Theory - 7th International Conference, 2021

2020

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

Paolo Viappiani, Craig Boutilier

Artif. Intell., 2020

Agent-based ordinal classification for group decision making.

Ons Nefla, Imène Brigui, Meltem Öztürk, Paolo Viappiani, Oussama Raboun

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

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

Agnès Rico, Paolo Viappiani

Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020

2019

Simultaneous Elicitation of Committee and Voters' Preferences.

Beatrice Napolitano, Olivier Cailloux, Paolo Viappiani

Proceedings of the Actes des 17èmes Rencontres des Jeunes Chercheurs en Intelligence Artificielle, 2019

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

Ons Nefla, Meltem Öztürk, Paolo Viappiani, Imène Brigui-Chtioui

Proceedings of the Algorithmic Decision Theory - 6th International Conference, 2019

2018

Positional Scoring Rules with Uncertain Weights.

Paolo Viappiani

Proceedings of the Scalable Uncertainty Management - 12th International Conference, 2018

2017

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

Nawal Benabbou, Patrice Perny, Paolo Viappiani

Artif. Intell., 2017

Incremental Decision Making Under Risk with the Weighted Expected Utility Model.

Hugo Gilbert, Nawal Benabbou, Patrice Perny, Olivier Spanjaard, Paolo Viappiani

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Constructive Preference Elicitation for Multiple Users with Setwise Max-margin.

Stefano Teso, Andrea Passerini, Paolo Viappiani

Proceedings of the Algorithmic Decision Theory - 5th International Conference, 2017

2016

Preferences in artificial intelligence.

Gabriella Pigozzi, Alexis Tsoukiàs, Paolo Viappiani

Ann. Math. Artif. Intell., 2016

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

Patrice Perny, Paolo Viappiani, Abdellah Boukhatem

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Model-Free Reinforcement Learning with Skew-Symmetric Bilinear Utilities.

Hugo Gilbert, Bruno Zanuttini, Paul Weng, Paolo Viappiani, Esther Nicart

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

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

Proceedings of the Scalable Uncertainty Management - 10th International Conference, 2016

Constructive Preference Elicitation by Setwise Max-Margin Learning.

Stefano Teso, Andrea Passerini, Paolo Viappiani

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

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

Paolo Viappiani

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Solving MDPs with Skew Symmetric Bilinear Utility Functions.

Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Reducing the Number of Queries in Interactive Value Iteration.

Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng

Proceedings of the Algorithmic Decision Theory - 4th International Conference, 2015

2014

Aggregation of Uncertain Qualitative Preferences for a Group of Agents.

Paolo Viappiani

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Incremental Elicitation of Choquet Capacities for Multicriteria Decision Making.

Nawal Benabbou, Patrice Perny, Paolo Viappiani

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Preference Modeling and Preference Elicitation: An Overview.

Paolo Viappiani

Proceedings of the First International Workshop on Decision Making and Recommender Systems (DMRS2014), 2014

2013

Tutorial on preference handling.

Alexis Tsoukiàs, Paolo Viappiani

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Robust Optimization of Recommendation Sets with the Maximin Utility Criterion.

Paolo Viappiani, Christian Kroer

Proceedings of the Algorithmic Decision Theory - Third International Conference, 2013

Thompson Sampling for Bayesian Bandits with Resets.

Paolo Viappiani

Proceedings of the Algorithmic Decision Theory - Third International Conference, 2013

2012

Monte Carlo Methods for Preference Learning.

Paolo Viappiani

Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

2011

Usability Guidelines for Product Recommenders Based on Example Critiquing Research.

Pearl Pu, Boi Faltings, Li Chen, Jiyong Zhang, Paolo Viappiani

Proceedings of the Recommender Systems Handbook, 2011

Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach.

Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier

Proceedings of the Algorithmic Decision Theory - Second International Conference, 2011

A Bayesian Concept Learning Approach to Crowdsourcing.

Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier

Proceedings of the Interactive Decision Theory and Game Theory, 2011

Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff!

Paolo Viappiani, Craig Boutilier

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets.

Paolo Viappiani, Craig Boutilier

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Simultaneous Elicitation of Preference Features and Utility.

Craig Boutilier, Kevin Regan, Paolo Viappiani

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Regret-based optimal recommendation sets in conversational recommender systems.

Paolo Viappiani, Craig Boutilier

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Preference elicitation with subjective features.

Craig Boutilier, Kevin Regan, Paolo Viappiani

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Optimal Set Recommendations Based on Regret.

Paolo Viappiani, Craig Boutilier

Proceedings of the 7th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems (ITWP'09), Pasadena, California, USA, July 11-17, 2009 in conjunction with the 21st International Joint Conference on Artificial Intelligence, 2009

Online feature elicitation in interactive optimization.

Craig Boutilier, Kevin Regan, Paolo Viappiani

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Preferences in Interactive Systems: Technical Challenges and Case Studies.

Bart Peintner, Paolo Viappiani, Neil Yorke-Smith

AI Mag., 2008

Preference-based search with adaptive recommendations.

Paolo Viappiani, Pearl Pu, Boi Faltings

AI Commun., 2008

2007

Conversational recommenders with adaptive suggestions.

Paolo Viappiani, Pearl Pu, Boi Faltings

Proceedings of the 2007 ACM Conference on Recommender Systems, 2007

2006

Preference-based Search using Example-Critiquing with Suggestions.

Paolo Viappiani, Boi Faltings, Pearl Pu

J. Artif. Intell. Res., 2006

Design and Implementation of Preference-Based Search.

Paolo Viappiani, Boi Faltings

Proceedings of the Web Information Systems, 2006

Implementing example-based tools for preference-based search.

Paolo Viappiani, Boi Faltings

Proceedings of the 6th International Conference on Web Engineering, 2006

The Lookahead Principle for Preference Elicitation: Experimental Results.

Paolo Viappiani, Boi Faltings, Pearl Pu

Proceedings of the Flexible Query Answering Systems, 7th International Conference, 2006

Increasing user decision accuracy using suggestions.

Pearl Pu, Paolo Viappiani, Boi Faltings

Proceedings of the 2006 Conference on Human Factors in Computing Systems, 2006

Evaluating Preference-based Search Tools: A Tale of Two Approaches.

Paolo Viappiani, Boi Faltings, Pearl Pu

Proceedings of the Proceedings, 2006

2004

Designing example-critiquing interaction.

Boi Faltings, Pearl Pu, Marc Torrens, Paolo Viappiani

Proceedings of the 9th International Conference on Intelligent User Interfaces, 2004