Last updated: November 5, 2016; 12:00 pm

TimeMonday, November 7th, 2016
8:50-9:00Welcome 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
10:30-11:00Coffee 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
12:30-13:30Lunch break
13:30-14:30 Invited talk (60 min)
Johannes Fürnkranz: Preference Learning in Games
14:30-15:00Coffee 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
16:15-16:45Coffee 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
19:30-20:00Meeting at the Welcome Hotel lobby and walk to the banquet
TimeTuesday, November 8th, 2016
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
10:30-11:00Coffee 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
12:30-13:30Lunch 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
15:00-15:30Coffee 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
16:30-17:00Closing session