The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development

Author:

Smith Micah J.1,Sala Carles1,Kanter James Max2,Veeramachaneni Kalyan1

Affiliation:

1. Massachusetts Institute of Technology, Cambridge, MA, USA

2. Feature Labs, Boston, MA, USA

Funder

Defense Advanced Research Projects Agency

Publisher

ACM

Reference53 articles.

1. Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp GeoffreyIrving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dandelion Mané Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster JonathonShlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xi-aoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learningon Heterogeneous Systems. https://www.tensorflow.org/ Software available from tensorflow.org. Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp GeoffreyIrving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dandelion Mané Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster JonathonShlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xi-aoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learningon Heterogeneous Systems. https://www.tensorflow.org/ Software available from tensorflow.org.

2. Peter Auer Nicolo Cesa-Bianchi and Paul Fischer. 2002. Finite-time analysis of the multiarmed bandit problem. Machine learning47 2--3(2002) 235--256. Peter Auer Nicolo Cesa-Bianchi and Paul Fischer. 2002. Finite-time analysis of the multiarmed bandit problem. Machine learning47 2--3(2002) 235--256.

3. Denis Baylor Eric Breck Heng-Tze Cheng Noah Fiedel Chuan Yu Foo Zakaria Haque Salem Haykal Mustafa Ispir Vihan Jain Levent Koc Chiu Yuen Koo Lukasz Lew Clemens Mewald Akshay Naresh Modi Neoklis Polyzotis Sukriti Ramesh Sudip Roy Steven Euijong Whang Martin Wicke Jarek Wilkiewicz Xin Zhang and Martin Zinkevich. 2017. TFX: A TensorFlow-Based Production-Scale Machine Learning Platform. In KDD. Denis Baylor Eric Breck Heng-Tze Cheng Noah Fiedel Chuan Yu Foo Zakaria Haque Salem Haykal Mustafa Ispir Vihan Jain Levent Koc Chiu Yuen Koo Lukasz Lew Clemens Mewald Akshay Naresh Modi Neoklis Polyzotis Sukriti Ramesh Sudip Roy Steven Euijong Whang Martin Wicke Jarek Wilkiewicz Xin Zhang and Martin Zinkevich. 2017. TFX: A TensorFlow-Based Production-Scale Machine Learning Platform. In KDD.

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5. James S Bergstra Rémi Bardenet Yoshua Bengio and Balázs Kégl. 2011. Algorithms for hyper-parameter optimization. In NIPS. 2546--2554. James S Bergstra Rémi Bardenet Yoshua Bengio and Balázs Kégl. 2011. Algorithms for hyper-parameter optimization. In NIPS. 2546--2554.

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