Call for papers: Keep Learning Workshop @ GECCO 2023
Christopher Stone
Call for papers
Keep Learning Workshop , held in conjunction with GECCO 2023; Lisbon, Portugal, 15-19th July 2023: https://sites.google.com/view/klearning-workshop
Important dates
Submission deadline: April 14, 2023
Notifications: May 3, 2023
Camera-ready: May 10, 2023
Description
The goal of this workshop is to discuss mechanisms by which optimisers can “keep on learning”. This includes mechanisms to enable an optimisation system to:
- Improve with practice as it solves more and more instances
- Learn & adapt from its experience of solving problem instances
- Detect drift in instance characteristics and respond accordingly, e.g. by tuning solvers and/or models
- Detect “surprise” in instance characteristics and respond accordingly, e.g. generation of new solvers
- Predict empty regions of an instance-space where future instances might appear; generate new synthetic instances in this space to provide training data for solvers
- Learn across multiple domains, e.g. transfer learning
- Learn to optimise in unseen domains
Developing such a system will likely require an interdisciplinary approach that mixes machine-learning and optimisation techniques. The workshop solicits short papers that address mechanisms by which any of the above can be achieved. We also invite short position papers that do not contain results but propose novel avenues of work might enable the creation of life-long learners.
Possible topics include but are not limited to:
- Per-instance Algorithm Selection
- Developing dynamic algorithm portfolios
- Algorithm Generation
- Algorithm Tuning
- Cross-Domain and/or Multi-Task Optimisation
- Methods for Warm-Starting Optimisers
- Methods for detecting change in instance characteristics
- Feature-generation and selection
- Synthetic Instance generation
- Creating instance space maps
Submissions
We invite submissions of the following types of papers:
- Research papers (up to 8 pages excluding references)
- Position papers (up to 4 pages including references)
- Software Demo (up to 2 pages including references)
Organisers
Emma Hart, Edinburgh Napier University
Ian Miguel, University of St Andrews
Christopher Stone, University of St Andrews
Quentin Renau, Edinburgh Napier University