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Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities


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

* Proceedings of the 2021 International Conference on Management of Data 

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Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows


Jan 13, 2021
Doris Xin, Eva Yiwei Wu, Doris Jung-Lin Lee, Niloufar Salehi, Aditya Parameswaran


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Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development


May 04, 2020
Angela Lee, Doris Xin, Doris Lee, Aditya Parameswaran


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Helix: Holistic Optimization for Accelerating Iterative Machine Learning


Dec 14, 2018
Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya Parameswaran


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The Importance of Norm Regularization in Linear Graph Embedding: Theoretical Analysis and Empirical Demonstration


Oct 12, 2018
Yihan Gao, Chao Zhang, Jian Peng, Aditya Parameswaran


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Helix: Accelerating Human-in-the-loop Machine Learning


Aug 03, 2018
Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya Parameswaran


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How Developers Iterate on Machine Learning Workflows -- A Survey of the Applied Machine Learning Literature


May 17, 2018
Doris Xin, Litian Ma, Shuchen Song, Aditya Parameswaran


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On the Interpretability of Conditional Probability Estimates in the Agnostic Setting


Feb 28, 2017
Yihan Gao, Aditya Parameswaran, Jian Peng


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Indexing Cost Sensitive Prediction


Aug 15, 2014
Leilani Battle, Edward Benson, Aditya Parameswaran, Eugene Wu


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