Abstract is missing.
- Exploring the Utility of Developer ExhaustJian Zhang, Max Lam, Stephanie Wang, Paroma Varma, Luigi Nardi, Kunle Olukotun, Christopher Ré. [doi]
- End-to-End Machine Learning with Apache AsterixDBWail Y. Alkowaileet, Sattam Alsubaiee, Michael J. Carey 0001, Chen Li, Heri Ramampiaro, Phanwadee Sinthong, Xikui Wang. [doi]
- Learning State Representations for Query Optimization with Deep Reinforcement LearningJennifer Ortiz, Magdalena Balazinska, Johannes Gehrke, S. Sathiya Keerthi. [doi]
- Snorkel MeTaL: Weak Supervision for Multi-Task LearningAlexander Ratner, Braden Hancock, Jared Dunnmon, Roger Goldman, Christopher Ré. [doi]
- Learning Efficiently Over Heterogeneous Databases: Sampling and Constraints to the RescueJose Picado, Arash Termehchy, Sudhanshu Pathak. [doi]
- Modelling Machine Learning Algorithms on Relational Data with DatalogNantia Makrynioti, Nikolaos Vasiloglou, Emir Pasalic, Vasilis Vassalos. [doi]
- Avatar: Large Scale Entity Resolution of Heterogeneous User ProfilesJanani Balaji, Chris Min, Faizan Javed, Yun Zhu. [doi]
- Towards Interactive Curation & Automatic Tuning of ML PipelinesCarsten Binnig, Benedetto Buratti, Yeounoh Chung, Cyrus Cousins, Tim Kraska, Zeyuan Shang, Eli Upfal, Robert C. Zeleznik, Emanuel Zgraggen. [doi]
- Accelerating Human-in-the-loop Machine Learning: Challenges and OpportunitiesDoris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran. [doi]
- AC/DC: In-Database Learning ThunderstruckMahmoud Abo Khamis, Hung Q. Ngo 0001, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich. [doi]