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Doris Xin

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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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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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Extending Relational Query Processing with ML Inference

Nov 01, 2019
Konstantinos Karanasos, Matteo Interlandi, Doris Xin, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Supun Nakandal, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino

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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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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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MLlib: Machine Learning in Apache Spark

May 26, 2015
Xiangrui Meng, Joseph Bradley, Burak Yavuz, Evan Sparks, Shivaram Venkataraman, Davies Liu, Jeremy Freeman, DB Tsai, Manish Amde, Sean Owen, Doris Xin, Reynold Xin, Michael J. Franklin, Reza Zadeh, Matei Zaharia, Ameet Talwalkar

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Parallel computation using active self-assembly

Sep 05, 2014
Moya Chen, Doris Xin, Damien Woods

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