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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.
Workshop date: 30 March 2020
Submissions: 20 December 2019, 11:59PM CET
Notification of outcome: 24 January 2020, 11:59PM CET (before EDBT 2020 early registration deadline)
Camera ready due: 31 January 2020, 11:59PM CET
We invite authors to submit either of the following:
Regular papers should be between 4 and 6 pages in length, excluding references. Abstracts should be maximally one page long. Papers must follow the latest ACM Proceedings format (2020). The ETMLP 2020 workshop is single-blind.
Submissions will be handled through EasyChair: https://easychair.org/conferences/?conf=etmlp2020.
Workshop date: 30 March 2020
Submissions: 20 December 2019, 11:59PM CET
Notification of outcome: 24 January 2020, 11:59PM CET (before EDBT 2020 early registration deadline)
Camera ready due: 31 January 2020, 11:59PM CET
More information coming soon!
Behrooz Omidvar-Tehrani (NAVER LABS Europe, co-chair)
Katharina Morik (TU Dortmund, co-chair)
Jean-Michel Renders (NAVER LABS Europe, co-chair)
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)
More information coming soon!
More information coming soon!
For question or information request, please send us an email to etmlp@naverlabs.com.
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