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T10. AutoML, model selection, evaluation design, and experiment tracking

Research on choosing and validating models instead of shipping a single fitted model.

  1. T10-2Structural parallel

    Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms

    Authors
    Chris Thornton, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
    Year
    2013
    Venue
    KDD 2013 (Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining) pp. 847-855

    Korean review of T10-2

  2. T10-3Structural parallel

    Efficient and Robust Automated Machine Learning (auto-sklearn)

    Authors
    Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Springenberg, Manuel Blum, Frank Hutter
    Year
    2015
    Venue
    NIPS 2015 (Advances in Neural Information Processing Systems 28)

    Korean review of T10-3

  3. T10-7Structural parallel

    AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

    Authors
    Nick Erickson, Jonas Mueller, Alexander Shirkov, Hang Zhang, Pedro Larroy, Mu Li, Alexander Smola
    Year
    2020
    Venue
    arXiv

    Korean review of T10-7

  4. T10-8Structural parallel

    Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

    Authors
    Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer, Frank Hutter
    Year
    2022
    Venue
    Journal of Machine Learning Research 23 261

    Korean review of T10-8

  5. T10-13Structural parallel

    OpenML: Networked Science in Machine Learning

    Authors
    Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl, Luis Torgo
    Year
    2014
    Venue
    ACM SIGKDD Explorations Newsletter vol. 15 no. 2 pp. 49-60

    Korean review of T10-13

  6. T10-14Structural parallel

    Developments in MLflow: A System to Accelerate the Machine Learning Lifecycle

    Authors
    Andrew Chen, Andy Chow, Aaron Davidson, Arjun DCunha, Ali Ghodsi, Sue Ann Hong, Andy Konwinski, Clemens Mewald, Siddharth Murching, Tomas Nykodym, Paul Ogilvie, Mani Parkhe, Avesh Singh, Fen Xie, Matei Zaharia, Richard Zang, Juntai Zheng, Corey Zumar
    Year
    2020
    Venue
    DEEM 2020

    Korean review of T10-14

From research to product use

Operating capabilities, pilots, and technologies in development are identified separately.

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