Abstract is missing.
- Amazon SageMaker Autopilot: a white box AutoML solution at scalePiali 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 Archembeau, Alex Tang, Bhaskar Dutt, Patricia Grao, Kumar Venkateswar. [doi]
- Resilient Neural Forecasting SystemsMichael Bohlke-Schneider, Shubham Kapoor, Tim Januschowski. [doi]
- Causality-based Explanation of Classification OutcomesLeopoldo E. Bertossi, Jordan Li, Maximilian Schleich, Dan Suciu, Zografoula Vagena. [doi]
- IntegratedML: Every SQL Developer is a Data ScientistBenjamin De Boe, Tom Woodfin, Thomas Dyar, Dave McCaldon, Aleks Djakovic, Alex MacLeod, Don Woodlock. [doi]
- A Vision on Accelerating Enterprise IT System 2.0Rekha Singhal, Dheeraj Chahal, Shruti Kunde, Mayank Mishra, Manoj K. Nambiar. [doi]
- Developments in MLflow: A System to Accelerate the Machine Learning LifecycleAndrew Chen, Andy Chow, Aaron Davidson, Arjun DCunha, Ali Ghodsi 0002, 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. [doi]
- From Data to Models and BackMike Dreves, Gene Huang, Zhuo Peng, Neoklis Polyzotis, Evan Rosen, Paul Suganthan C. G.. [doi]
- MLOS: An Infrastructure for Automated Software Performance EngineeringCarlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, Markus Weimer, Yiwen Zhu. [doi]