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ORCID4th DEEM@SIGMOD 2020: Portland, OR, USA
- Sebastian Schelter, Steven Whang, Julia Stoyanovich:
Proceedings of the Fourth Workshop on Data Management for End-To-End Machine Learning, In conjunction with the 2020 ACM SIGMOD/PODS Conference, DEEM@SIGMOD 2020, Portland, OR, USA, June 14, 2020. ACM 2020, ISBN 978-1-4503-8023-2 - Mike Dreves, Gene Huang, Zhuo Peng, Neoklis Polyzotis, Evan Rosen, Paul Suganthan G. C.:
From Data to Models and Back. 1:1-1:4 - Piali Das, Nikita Ivkin, Tanya Bansal, Laurence Rouesnel, Philip Gautier, Zohar S. Karnin, Leo Dirac, Lakshmi Ramakrishnan, Andre Perunicic, Iaroslav Shcherbatyi, Wilton Wu, Aida Zolic, Huibin Shen, Amr Ahmed, Fela Winkelmolen, Miroslav Miladinovic, Cédric Archambeau, Alex Tang, Bhaskar Dutt, Patricia Grao, Kumar Venkateswar:
Amazon SageMaker Autopilot: a white box AutoML solution at scale. 2:1-2:7 - Carlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, Markus Weimer, Yiwen Zhu:
MLOS: An Infrastructure for Automated Software Performance Engineering. 3:1-3:5 - Michael Bohlke-Schneider, Shubham Kapoor, Tim Januschowski:
Resilient Neural Forecasting Systems. 4:1-4:5 - Andrew Chen, Andy Chow, Aaron Davidson, Arjun DCunha, Ali Ghodsi, Sue Ann Hong, Andy Konwinski, Clemens Mewald, Siddharth Murching, Tomas Nykodym, Paul Ogilvie, Mani Parkhe, Avesh Singh, Fen Xie, Matei Zaharia
, Richard Zang, Juntai Zheng, Corey Zumar:
Developments in MLflow: A System to Accelerate the Machine Learning Lifecycle. 5:1-5:4 - Leopoldo E. Bertossi, Jordan Li, Maximilian Schleich, Dan Suciu, Zografoula Vagena:
Causality-based Explanation of Classification Outcomes. 6:1-6:10 - Benjamin De Boe, Tom Woodfin, Thomas Dyar, Dave McCaldon, Aleks Djakovic, Alex MacLeod, Don Woodlock:
IntegratedML: Every SQL Developer is a Data Scientist. 7:1-7:4 - Rekha Singhal, Dheeraj Chahal, Shruti Kunde, Mayank Mishra, Manoj Nambiar:
A Vision on Accelerating Enterprise IT System 2.0. 8:1-8:9
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