ETMLP2020: Explainability for Trustworthy ML Pipelines The Scandic Falkoner Congress Center, Falkoner Alle 9, 2000 Frederiksberg, Copenhagen, Denmark Copenhagen, Denmark, March 30, 2020 |
Conference website | https://europe.naverlabs.com/etmlp/ |
Submission link | https://easychair.org/conferences/?conf=etmlp2020 |
Abstract registration deadline | January 12, 2020 |
Submission deadline | January 12, 2020 |
Machine learning (ML) is a driving force for many successful applications in Artificial Intelligence. ML pipelines ensure guarantees on the entirety of the system (i.e., horizontal certification) as well as on each single component (i.e., vertical certification). The horizontal certification covers the full pipeline from data acquisition to data visualization. Moreover, it spans over user-centered, technical, financial, and regulatory aspects of the system. The vertical certification exploits the theory of ML to guarantee error bounds, sampling complexity, energy consumption, execution time, time-to-think, and memory and communication demands. The understandability of an ML pipeline in its entirety requires the collaboration of researchers from the database and the ML communities.
ETMLP workshop will examine the aforementioned opportunities and their associated challenges. The main objective of this workshop is to create a forum where researchers from machine learning, data management, and practitioners engage with ideas around explainability and certified trustworthiness of ML pipelines, at the pipeline level, as well as the component level.
The ultimate goal of the workshop is to discuss recommendations for further work in science and industry and society regarding explainable ML pipelines.
Submission Guidelines
The following paper categories are welcome:
- regular papers: original, unpublished research papers that are not being considered for publication in any other venue;
- abstract papers: for visionary and work-in-progress ideas.
Committees
Workshop chairs
- Behrooz Omidvar-Tehrani (NAVER LABS Europe, co-chair)
- Katharina Morik (TU Dortmund, co-chair)
- Jean-Michel Renders (NAVER LABS Europe, co-chair)
Program committee
- Sihem Amer-Yahia (CNRS, France)
- Francesco Bonchi (ISI Foundation, Italy, and Eurecat Barcelona, Spain)
- Vassilis Christophides (University of Crete, Greece and Institute for Advanced Studies, Cergy France)
- Joao Comba (UFRGS,Brazil)
- Yanlei Diao (Ecole Polytechnique, France)
- Fosca Giannotti (Information Science and Technology Institute A. Faedo, Italy)
- Dimitrios Gunopulos (National and Kapodistrian University of Athens, Greece)
- Thomas Liebig (Materna Information and Communications SE, Germany)
- Adrian Mos (NAVER LABS Europe, France)
- Dino Pedreschi (University of Pisa, Italy)
- Nico Piatkowski (TU Dortmund, Germany)
- Stefan Rüping (Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany)
- Eric Simon (SAP, France)
- Divesh Srivastava (AT&T Labs, USA)
- Thibaut Thonet (NAVER LABS Europe, France),
- Ioannis Tsamardinos (University of Crete, Greece)
Publication
ETMLP2020 proceedings will be published online at CEUR (http://ceur-ws.org/).
Venue
The workshop will be held in the Scandic Falkoner Congress Center, Falkoner Alle 9, 2000 Frederiksberg, Copenhagen, Denmark.
Contact
All questions about submissions should be emailed to etmlp@naverlabs.com.
Sponsor
NAVER LABS Europe (https://europe.naverlabs.com)