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Oct 10, 2024
‐ Our research group has been covered in an
interview on the #ai_berlin website
..
Jun 1, 2024
‐ We will be present at the upcoming
VLDB
conference in China with several contributions:
How Data Management Research Helps to Improve Real World ML Applications
(Keynote at the workshop on Quality in Databases)
A Flexible Forecasting Stack
(Industry paper with AWS)
Snapcase - Regain Control over Your Predictions with Low-Latency Machine Unlearning
(Demonstration)
Instrumentation and Analysis of Native ML Pipelines via Logical Query Plans
(Paper at the PhD workshop)
Assisted design of data science pipelines
(Poster of a VLDBJ publication)
.
Jun 1, 2024
‐ At the upcoming
SIGMOD conference
in Chile, Till will present our paper on
SchemaPile: A Large Collection of Relational Database Schemas
. SchemaPile is a corpus of more than 200 thousand database schemas, which we envision to be a great resource for ML models dealing with structured data, e.g., in data integration tasks. Furthermore, Stefan will present his initial ideas on
Interactively Improving ML Data Preparation Code via ‘Shadow Pipelines’
at the
DEEM workshop
..
May 12, 2024
‐ Barrie and Zeyu will present two papers at the
International Conference on Data Engineering (ICDE)
in Utrecht. Barrie will discuss how to choose
cost-efficient deployment options for neural recommendation models
in e-commerce, while Zeyu will present initial ideas for
zero-shot entity matching
..
May 6, 2024
‐ The ‘DataScope’ paper on
debugging ML pipelines via Shapley importance
will be presented at the
International Conference on Learning Representations (ICLR)
in Vienna. This work was driven by
Bojan Karlaš
from Harvard and
Ce Zhang
from the University of Chicago..
Oct 18, 2023
‐ Prof. Schelter joins the newly formed
Journal of Data-centric Machine Learning Research
(DMLR) as an Action Editor..
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