DA2PL 2026 Workshop

Posted by: Bernard FORTZ
Date:2026-04-02
Contact:[email protected]
Dear Colleague, 
The DA2PL workshops (from Decision Analysis to Preference Learning) aim to bring together researchers from decision analysis and machine learning.
DA2PL 2026 will soon be held in Brussels (April 16-17, 2026).
The list of 17 accepted presentations is now available. It can be seen below, together with 4 invited talks. 
You are kindly invited to attend the conference. Please register on the website, using this https://register.event.ulb.be/events/DA2PL2026/, preferably no later than April 9.   
We would be very grateful to you for disseminating the conference announcement to potentially interested people. Thank you in advance.  
All information relevant to the workshop can be found: http://da2pl.ulb.be.
Looking forward to welcome you in Brussels, 
Yves De Smet and Marc Pirlot, for the organizing committee. 
Invited talks
  • Uncertainty in preference modelling: A tale of two views — Sébastien Destercke
  • Beyond Rewards: The Challenge of AI-Alignment with Preference-based Learning — Aadirupa Saha
  • Shedding Light on Explainability of Decisions Stemming from Additive Decision Models — Wassila Ouerdane
  • Natural Language Preferences and Conversational Recommendation in the Era of Generative AI — Scott Sanner
List of presentations
    • Additive preferences over sets — Thierry Marchant and Arunava Sen
    • Decentralized Ranking Aggregation: Gossip Algorithms for Borda and Copeland Consensus — Anna Van Elst, Kerrian Le Caillec, Igor Colin and Stephan Clémençon
    • Bayesian Preference Elicitation: Human-In-The-Loop Optimization of An Active Prosthesis — Sophia Taddei, Wouter Koppen, Eligia Alfio, Stefano Nuzzo, Louis Flynn, María Alejandra Díaz, Sebastian Rojas Gonzalez, Tom Dhaene, Kevin De Pauw, Ivo Couckuyt and Tom Verstraten
    • A non-compensatory joint ranking and sorting model — Vincent Mousseau, Marc Pirlot and Olivier Sobrie
    • Eliciting two piecewise linear additive value functions from anonymous matching statements — Vincent Auriau, Khaled Belahcène, Emmanuel Malherbe, Vincent Mousseau and Marc Pirlot
    • Evaluation-based and ranking-based deepest voting — Antoine Rolland, Jean-Baptiste Aubin, Irène Gannaz, Ioana Gavra and Anderson Kouassi
    • Assessing inhabitants’ preference towards Energy Community participation: a preference learning approach — Giulio Cavana, Cristina Becchio, Marta Bottero, Giovanna Fancello and Alexis Tsoukiàs
    • Recent developments in sensitivity analysis for PROMETHEE methods — Alexandre Flachs and Yves De Smet
    • Evaluating the PROMETHEE II Ranking Quality — Boris Coquelet, Gilles Dejaegere and Yves De Smet
    • Consensus Ranking Distribution as Ranking Quantization: A K-medians Algorithm — Gabriel Benedetti, Stephan Clémençon and Ekhine Irurozki
    • A similarity model for subjective assessment — Sarra Tajouri and Alexis Tsoukiàs;
    • Implementing Capability Theory Inspired Tools for Policy Design: A Case Study on Older Adults’ Urban Mental Well-Being — Nicolas Fayard, Giovanna Fancello and Basile Chaix;
    • Eliciting the parameters of the Non Compensatory Sorting model — Eda Ersek Uyanik and Marc Pirlot;
    • Mixed-initiative scenarios for recommendations and explanations with defeasible inferences — Armand Gaudillier, Khaled Belahcène, Wassila Ouerdane and Sébastien Destercke;
    • Forest Orders: Characterization, Representation and Optimization — Jérome Gaigne, Khaled Belahcene and Sylvain Lagrue
    • Three criteria are enough: a MR-Sort model as an alternative to the Nutri-Score — Brice Mayag
    • Towards Long-term Preference Elicitation — Paolo Viappiani.
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