AMIR 2019 : 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval
Call For Papers
The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR) brings together researchers from the fields of algorithm selection and meta-learning as well as information retrieval http://amir-workshop.org/. The AMIR workshop is held on the 14th of April 2019 in conjunction with the 41st European Conference on Information Retrieval (ECIR) in Cologne, Germany.
AMIR aims at achieving the following goals:
- Raise awareness of the algorithm selection problem in the information retrieval community
- Find solutions to address and solve the algorithm selection problem in IR
- Familiarize the IR community with existing research and tools from the field of algorithm selection and meta-learning
- Identify the potential for automated algorithm selection and meta-learning for IR applications
- Explore if and how information retrieval techniques can be applied to solve the algorithm selection problem.
More precisely, topics relevant for the workshop include but are not limited to
Automated Machine Learning / AutoML
Neural Network Architecture Search
Hyper-Parameter Optimization and Tuning
Evaluation Methods and Metrics
Learning to Learn
Recommender Systems for Algorithms
Algorithm Selection as User Modeling Task
Search Engines for Algorithms
Full Papers (max. 12 pages + references)
Short Papers / Posters (max. 6 pages + references)
Nectar papers (1 page + references)
Full & short papers shall present original research, novel datasets, real-world applications (demonstrations), literature surveys, or critical discussions (position paper). Nectar papers shall summarize substantial research results that were already published at high-impact journals or conferences.
All accepted submissions shall be published in the CEUR Workshop Proceedings Series.
Joeran Beel – Trinity College Dublin – School of Computer Science & Statistics – ADAPT Centre – Ireland
Lars Kotthoff – University of Wyoming – Department of Computer Science – Meta Algorithmics, Learning and Large-scale Empirical Testing Lab – USA