DA2PL'2018: From Multiple Criteria Decision Aid to Preference Learning Poznan University of Technology Poznań, Poland, November 22-23, 2018 |
Conference website | http://da2pl.cs.put.poznan.pl/ |
Submission link | https://easychair.org/conferences/?conf=da2pl2018 |
Submission deadline | September 8, 2018 |
The DA2PL workshop has been launched with the goal of bringing together researchers from operations research and the decision sciences with scholars from machine learning. It aims at providing a forum for discussing recent advances and identifying new research challenges in the intersection of both fields, which is marked by the growing field of preference learning, thereby supporting a cross-fertilization of these disciplines.
Following the three previous editions of this workshop, which took place in Mons in 2012, Paris in 2014 and Paderborn in 2016, DA2PL'2018 will be held at the Poznan University of Technology (Poznan, Poland) at November 22-23, 2018 (Thursday-Friday).
Submission Guidelines
Submissions must be written in English and formatted according to the electronic template that is available on the conference website. The following paper categories are welcome:
- Full papers limited to 8 pages,
- Extended abstracts of 2 pages as the maximum.
Submissions are managed through www.easychair.org. Each paper submitted to DA2PL will be reviewed by two referees.
We also provide an opportunity for doctoral students to explore and develop their research interests. A special session at the conference will be devoted for PhD students to present and discuss their ongoing research work. Therefore we encourage young researchers to submit their work also via submission site.
Important dates
- Paper submission deadline: September 1, 2018
- Author notification: September 30, 2018
- Camera-ready version: November 3, 2018
List of Topics
DA2PL'2018 solicits contributions to the usage of theoretically supported preference models and formalisms in preference learning as well as communications devoted to innovative preference learning methods in decision analysis and multiple criteria decision aiding. Specific topics of interest include, but are not limited to
- quantitative and qualitative approaches to modeling preferences, user feedback and training data
- preference representation in terms of graphical models, logical formalisms, and soft constraints
- dealing with incomplete and uncertain preference
- preference aggregation and disaggregation
- learning utility functions using regression-based approaches
- preference elicitation and active learning
- preference learning in combinatorial domains
- learning relational preference models and related regression problems
- classification problems, such as ordinal and hierarchical classification
- inducing monotonic decision models for preference representation
- comparison of different preference learning paradigms (e.g., monolithic vs. decomposition)
- ranking problems, such as object ranking, instance ranking and label ranking
- complementarity of preference models and hybrid methods
- explanation of recommendations
- applications of preference learning, such as web search, information retrieval, electronic commerce, games, personalization, recommender systems
Committees
Program chairs
- Eyke Hüllermeier, Paderborn University (eyke@upb.de)
- Vincent Mousseau, CentraleSupélec, Paris (vincent.mousseau@centralesupelec.fr)
Conference chairs
- Krzysztof Dembczynski, Poznan University of Technology (krzysztof.dembczynski@cs.put.poznan.pl)
- Miłosz Kadziński, Poznan University of Technology (milosz.kadzinski@cs.put.poznan.pl))
Venue
The conference will be held at Poznan University of Technology, Poznan, Poland at November 22-23, 2018 (Thursday-Friday).
Contact
All questions about submissions should be emailed the conference chairs.