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Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning


Feb 07, 2020
Rui Liu, Sanjan Krishnan, Aaron J. Elmore, Michael J. Franklin


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DLHub: Model and Data Serving for Science


Nov 27, 2018
Ryan Chard, Zhuozhao Li, Kyle Chard, Logan Ward, Yadu Babuji, Anna Woodard, Steve Tuecke, Ben Blaiszik, Michael J. Franklin, Ian Foster

* 10 pages, 8 figures, conference paper 

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Clipper: A Low-Latency Online Prediction Serving System


Feb 28, 2017
Daniel Crankshaw, Xin Wang, Giulio Zhou, Michael J. Franklin, Joseph E. Gonzalez, Ion Stoica


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KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics


Oct 29, 2016
Evan R. Sparks, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, Benjamin Recht


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Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies


Mar 10, 2016
Francois W. Belletti, Evan R. Sparks, Michael J. Franklin, Alexandre M. Bayen, Joseph E. Gonzalez


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ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models


Jan 15, 2016
Sanjay Krishnan, Jiannan Wang, Eugene Wu, Michael J. Franklin, Ken Goldberg

* Pre-print 

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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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TuPAQ: An Efficient Planner for Large-scale Predictive Analytic Queries


Mar 08, 2015
Evan R. Sparks, Ameet Talwalkar, Michael J. Franklin, Michael I. Jordan, Tim Kraska


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Active Learning for Crowd-Sourced Databases


Dec 20, 2014
Barzan Mozafari, Purnamrita Sarkar, Michael J. Franklin, Michael I. Jordan, Samuel Madden

* A shorter version of this manuscript has been published in Proceedings of Very Large Data Bases 2015, entitled "Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning" 

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MLI: An API for Distributed Machine Learning


Oct 25, 2013
Evan R. Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska


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