TFX: A TensorFlow-Based Production-Scale Machine Learning Platform. - Denis Baylor; Eric Breck; Heng-Tze Cheng; Noah Fiedel; Chuan Yu Foo; Zakaria Haque; Salem Haykal; Mustafa Ispir; Vihan Jain; Levent Koc 001; Chiu Yuen Koo; Lukasz Lew; et al. (KDD, 2017)

TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks. - Heng-Tze Cheng; Zakaria Haque; Lichan Hong; Mustafa Ispir; Clemens Mewald; Illia Polosukhin; Georgios Roumpos; D. Sculley; Jamie Smith; David Soergel; Yuan Tang; Philipp Tucker; et al. (KDD, 2017)

Continuous Training for Production ML in the TensorFlow Extended (TFX) Platform. - Denis Baylor; Kevin Haas; Konstantinos Katsiapis; Sammy Leong; Rose Liu; Clemens Mewald; Hui Miao; Neoklis Polyzotis; Mitchell Trott; Martin Zinkevich (OpML, 2019)

Developments in MLflow: A System to Accelerate the Machine Learning Lifecycle. - Andrew Chen; Andy Chow; Aaron Davidson; Arjun DCunha; Ali Ghodsi 002; Sue Ann Hong; Andy Konwinski; Clemens Mewald; Siddharth Murching; Tomas Nykodym; Paul Ogilvie; Mani Parkhe; et al. (DEEM@SIGMOD, 2020)