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What can Data-Centric AI Learn from Data and ML Engineering?


Dec 13, 2021
Neoklis Polyzotis, Matei Zaharia

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Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities


Mar 30, 2021
Doris Xin, Hui Miao, Aditya Parameswaran, Neoklis Polyzotis

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* Proceedings of the 2021 International Conference on Management of Data 

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Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX)


Oct 07, 2020
Konstantinos, Katsiapis, Abhijit Karmarkar, Ahmet Altay, Aleksandr Zaks, Neoklis Polyzotis, Anusha Ramesh, Ben Mathes, Gautam Vasudevan, Irene Giannoumis, Jarek Wilkiewicz, Jiri Simsa, Justin Hong, Mitch Trott, Noé Lutz, Pavel A. Dournov, Robert Crowe, Sarah Sirajuddin, Tris Brian Warkentin, Zhitao Li

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* 16 pages 

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Improving Differentially Private Models with Active Learning


Oct 02, 2019
Zhengli Zhao, Nicolas Papernot, Sameer Singh, Neoklis Polyzotis, Augustus Odena

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Slice Finder: Automated Data Slicing for Model Validation


Aug 01, 2018
Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Steven Euijong Whang

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* In submission to ICDE 

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The Case for Learned Index Structures


Apr 30, 2018
Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, Neoklis Polyzotis

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Iterative MapReduce for Large Scale Machine Learning


Mar 13, 2013
Joshua Rosen, Neoklis Polyzotis, Vinayak Borkar, Yingyi Bu, Michael J. Carey, Markus Weimer, Tyson Condie, Raghu Ramakrishnan

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Scaling Datalog for Machine Learning on Big Data


Mar 02, 2012
Yingyi Bu, Vinayak Borkar, Michael J. Carey, Joshua Rosen, Neoklis Polyzotis, Tyson Condie, Markus Weimer, Raghu Ramakrishnan

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