PPSN 2020 Workshop on Understanding Machine Learning Optimization Problems
Call for Participation in the Workshop on
Understanding Machine Learning and Optimization Problems (UMLOP)
(to be held on September 5 or 6, 2020 at PPSN 2020 in Leiden, The Netherlands)
- Pascal Kerschke, University of Münster, Germany, email@example.com
- Marcus Gallagher, University of Queensland, Australia, firstname.lastname@example.org
- Mike Preuss, Leiden University, The Netherlands, email@example.com
- Olivier Teytaud, Facebook AI Research, Paris, France, firstname.lastname@example.org
Scope of the Workshop
Although recent works have shown how machine learning (ML) methods can actually benefit from incorporating evolutionary computation (EC) strategies, there still exists only little knowledge exchange between the two communities.
Our workshop tries to reduce the gap between ML and EC by discussing common ML problems in more detail with the overall goal of improving the understanding of their specific structure. Moreover, we want to investigate how and when EC could be used to solve certain ML tasks. Thus, we are interested in questions such as:
- What do the landscapes of ML problems look like?
- Which ML problems are of benign/malign nature for EC approaches (i.e., when should one consider incorporating EC into ML methods)?
- How similar are such problems to instances from popular EC benchmark suites?
Topics of Interest
In order to facilitate first analyses, we provide an initial set of ML problems (related to real-world applications) and invite participants to contribute their insights into these problems. Submission could contain -- but are definitely not limited to -- any of the following related issues:
- applying exploratory landscape analysis to one of the aforementioned ML problems,
- analyzing algorithm (including portfolio) performances with a focus on "why",
- investigating existing problem solutions w.r.t. quality and/or diversity aspects,
- discussing (the feasibility of) commonly used performance metrics within these domains, or
- extending the provided set of test problems by contributing further optimization problems (from the ML domain), which are of relevance for real-world applications.
- Workshop (at PPSN 2020): September 5 or 6, 2020
Please help us raising awareness for this workshop and distribute the link to this website (http://www.erc.is/go/umlop2020).