Last updated: November 5, 2016; 12:00 pm
Time | Monday, November 7th, 2016 |
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8:50-9:00 | Welcome session |
9:00-10:00 |
Invited talk (60 min) Jérôme Lang: From social choice to preference learning |
10:00-10:30 |
Session 1 (2 short = 30 min): 10:00-10:15 Vu-Linh Nguyen, Sébastien Destercke and Marie-Helene Masson. Possible and necessary labels in K-nn procedures to query partially labelled data 10:15-10:30 Antoine Rolland and Jairo Cugliari. Generating new multicriteria data |
10:30-11:00 | Coffee break |
11:00-12:30 |
Session 2 (3 long + 1 short = 90 min): 11:00-11:25 Nataliya Sokolovska, Yann Chevaleyre and Jean-Daniel Zucker. Interpretable Score Learning by Fused Lasso and Integer Linear Programming 11:25-11:50 Olivier Sobrie, Vincent Mousseau and Marc Pirlot. Learning MR-Sort rules with coalitional veto 11:50-12:15 Fabien Labernia, Florian Yger, Brice Mayag and Jamal Atif. Query-based learning of acyclic conditional preference networks from noisy data 12:15-12:30 Michael Bräuning and Tobias Keller. Assessing creditworthiness of companies based on lexicographic preference lists |
12:30-13:30 | Lunch break |
13:30-14:30 |
Invited talk (60 min) Johannes Fürnkranz: Preference Learning in Games |
14:30-15:00 | Coffee break |
15:00-16:15 |
Session 3 (3 long = 75 min): 15:00-15:25 Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau and Wassila Ouerdane. Accountable classifications without frontiers 15:25-15:50 Nawal Benabbou, Patrice Perny and Paolo Viappiani. A regret-based preference elicitation approach for sorting with multicriteria reference profiles 15:50-16:15 Murat Yagci, Tevfik Aytekin, Hurol Turen and Fikret Gurgen. Parallel personalized pairwise learning to rank |
16:15-16:45 | Coffee break with cake |
16:45-18:15 |
Session 4 (3 long + 1 short = 90 min): 16:45-17:10 Inés Couso, Mohsen Ahmadi and Eyke Hüllermeier. Statistical Inference for Incomplete Ranking Data: A Comparison of two Likelihood Estimators 17:10-17:35 Matthew Groves and Juergen Branke. Optimal Subset Selection With Pairwise Comparisons 17:35-18:00 Raymond Bisdorff. Computing linear rankings from trillions of pairwise outranking situations 18:00-18:15 Pritha Gupta, Alexander Hetzer and Tanja Tornede. jPL-Framework: Java Preference Learning Framework |
19:30-20:00 | Meeting at the Welcome Hotel lobby and walk to the banquet |
20:00-00:00 | Banquet |
Time | Tuesday, November 8th, 2016 |
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9:00-10:00 |
Invited talk (60 min) Marina Meila: Discovering consensus and structure in preferences |
10:00-10:30 |
Session 5 (2 short = 30min): 10:00-10:15 Madjid Tavana, Francisco Javier Santos Arteaga and Debora Di Caprio. SVIKOR: MCDM with Stochastic Data, Subjective Expert Judgments and Different Risk Attitudes of Decision Makers 10:15-10:30 Maryam Tavakol and Ulf Brefeld. A Preference-Based Bandit Framework for Personalized Recommendation |
10:30-11:00 | Coffee break |
11:00-12:30 |
Session 6 (3 long + 1 short = 90min): 11:00-11:25 Ivo Fagundes David de Oliveira, Nir Ailon and Ori Davidov. Semi-Parametric Estimation for Paired Comparisons Using SDP 11:25-11:50 Dirk Schäfer and Eyke Hüllermeier. Preference-based Reinforcement Learning using Dyad Ranking 11:50-12:15 Róbert Busa-Fekete, Paul Weng, Orkun Karabasoglu and Balazs Szorenyi. Optimizing the Generalized Gini Index in Multi-objective Bandits 12:15-12:30 Friederike Paetz and Daniel Guhl. Socially Conscious Consumption: Consumers’ Willingness-To-Pay for Fair Trade labels |
12:30-13:30 | Lunch break |
13:30-14:30 |
Invited talk (60 min) Patrice Perny: Incremental Elicitation for Decision Making on Combinatorial Domains |
14:30-15:00 |
Session 7 (2 short = 30 min): 14:30-14:45 Thomas Spura, Michael Baumann and Artus Krohn-Grimberghe. Incorporating Auxiliary Data into Recommender Systems 14:45-15:00 Kalina Jasinska and Krzysztof Dembczynski. Predicting diverse rankings in extreme multi-label classification |
15:00-15:30 | Coffee break |
15:30-16:30 |
Session 8 (4 short = 60 min): 15:30-15:45 Christophe Labreuche, Eyke Hüllermeier and Peter Vojtas. On the Identifiability of Models in Multi-Criteria Preference Learning 15:45-16:00 Michal Kopecký, Ladislav Peska, Peter Vojtas and Marta Vomlelová. Metrics and Experiment Organization of Multiuser Preference Learning in Recommender Systems and Decision Aid 16:00-16:15 Tom Denat and Meltem Ozturk. Dominance based Monte Carlo algorithm for preference learning in the multi-criteria sorting problem: Theoretical properties 16:15-16:30 Adil Paul and Róbert Busa-Fekete A noisy sorting-based ranking model |
16:30-17:00 | Closing session |