Papers
======


"Pipeline Combinators for Gradual AutoML".
Guillaume Baudart, Martin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar, and Jason Tsay.
Conference on Neural Information Processing Systems (NeurIPS), pages 19705-19718, December 2021.
https://proceedings.neurips.cc/paper/2021/file/a3b36cb25e2e0b93b5f334ffb4e4064e-Paper.pdf

**This is the preferred citation for the Lale project.**

.. code:: BibTeX

    @InProceedings{baudart_et_al_2021,
      title = "Pipeline Combinators for Gradual {AutoML}",
      author = "Baudart, Guillaume and Hirzel, Martin and Kate, Kiran and Ram, Parikshit and Shinnar, Avraham and Tsay, Jason",
      booktitle = "Advances in Neural Information Processing Systems (NeurIPS)",
      year = 2021,
      month = dec,
      pages = "19705--19718",
      url = "https://proceedings.neurips.cc/paper/2021/file/a3b36cb25e2e0b93b5f334ffb4e4064e-Paper.pdf" }


"Searching for Fairer Machine Learning Ensembles,
Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, and Avraham Shinnar.
Conference on Automated Machine Learning (AutoML), September 2023.

.. code:: BibTeX

    @InProceedings{feffer_et_al_2023,
      title = "Searching for Fairer Machine Learning Ensembles",
      author = "Feffer, Michael and Hirzel, Martin and Hoffman, Samuel C. and Kate, Kiran and Ram, Parikshit and Shinnar, Avraham",
      booktitle = "Conference on Automated Machine Learning (AutoML)",
      year = 2023,
      month = sep }


"A Suite of Fairness Datasets for Tabular Classification",
Martin Hirzel and Michael Feffer.
arXiv:2308.00133 [cs.LG], July 2023.
https://arxiv.org/abs/2308.00133

.. code:: BibTeX

    @Misc{hirzel_feffer_2023,
      title = "A Suite of Fairness Datasets for Tabular Classification",
      author = "Hirzel, Martin and Feffer, Michael",
      year = 2023,
      month = jul,
      url = "https://arxiv.org/abs/2308.00133" }


"AI for Low-Code for AI",
Nikitha Rao, Jason Tsay, Kiran Kate, Vincent J. Hellendoorn, and Martin Hirzel.
arXiv:2305.20015 [cs.SE], May 2023.
https://arxiv.org/abs/2305.20015

.. code:: BibTeX

    @Misc{rao_et_al_2023,
      title = "{AI} for Low-Code for {AI}",
      author = "Rao, Nikitha and Tsay, Jason and Kate, Kiran and Hellendoorn, Vincent J. and Hirzel, Martin",
      year = 2023,
      month = may,
      url = "https://arxiv.org/abs/2305.20015" }


"Gradual AutoML using Lale".
Kiran Kate, Martin Hirzel, Parikshit Ram, Avraham Shinnar, and Jason Tsay.
Tutorial at Conference on Knowledge Discovery and Data Mining (KDD-Tutorial), August 2022.
https://doi.org/10.1145/3534678.3542630

.. code:: BibTeX

    @InProceedings{kate_et_al_2022,
      author = "Kate, Kiran and Hirzel, Martin and Ram, Parikshit and Shinnar, Avraham and Tsay, Jason",
      title = "Gradual {AutoML} using {Lale}",
      booktitle = "Tutorial at the Conference on Knowledge Discovery and Data Mining (KDD-Tutorial)",
      year = 2022,
      month = aug,
      pages = "4794--4795",
      url = "https://doi.org/10.1145/3534678.3542630" }


"An Empirical Study of Modular Bias Mitigators and Ensembles".
Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, and Avraham Shinnar.
Workshop on Benchmarking Data for Data-Centric AI (DataPerf@ICML), July 2022.
http://hirzels.com/martin/papers/dataperf22-fair-ensembles.pdf

.. code:: BibTeX

    @InProceedings{feffer_et_al_2022,
      title = "An Empirical Study of Modular Bias Mitigators and Ensembles",
      author = "Feffer, Michael and Hirzel, Martin and Hoffman, Samuel C. and Kate, Kiran and Ram, Parikshit and Shinnar, Avraham",
      booktitle = "Workshop on Benchmarking Data for Data-Centric AI (DataPerf@ICML)",
      year = 2022,
      month = jul,
      url = "http://hirzels.com/martin/papers/dataperf22-fair-ensembles.pdf" }


"The Raise of Machine Learning Hyperparameter Constraints in Python Code".
Ingkarat Rak-amnouykit, Ana Milanova, Guillaume Baudart, Martin Hirzel, and Julian Dolby.
International Symposium on Software Testing and Analysis (ISSTA), pages 580-592, July 2022.
https://doi.org/10.1145/3533767.3534400

**Winner of a Distinguished Paper Award at ISSTA 2022.**

.. code:: BibTeX

    @InProceedings{rakamnouykit_et_al_2022,
      title = "The Raise of Machine Learning Hyperparameter Constraints in {Python} Code",
      author = "Rak-amnouykit, Ingkarat and Milanova, Ana and Baudart, Guillaume and Hirzel, Martin and Dolby, Julian",
      booktitle = "International Symposium on Software Testing and Analysis (ISSTA)",
      year = 2022,
      pages = "580--592",
      month = jul,
      url = "https://doi.org/10.1145/3533767.3534400" }


"Automatically Debugging AutoML Pipelines Using Maro: ML Automated Remediation Oracle".
Julian Dolby, Jason Tsay, and Martin Hirzel.
Symposium on Machine Programming (MAPS), pages 60-69, June 2022.

.. code:: BibTeX

    @InProceedings{dolby_tsay_hirzel_2022,
      title = "Automatically Debugging {AutoML} Pipelines Using {Maro}: {ML} Automated Remediation Oracle",
      author = "Dolby, Julian and Tsay, Jason and Hirzel, Martin",
      booktitle = "Symposium on Machine Programming (MAPS)",
      year = 2022,
      month = jun,
      pages = "60--69",
      url = "https://dl.acm.org/doi/10.1145/3520312.3534868" }


"RASL: Relational Algebra in Scikit-Learn Pipelines".
Chirag Sahni, Kiran Kate, Avraham Shinnar, Hoang Thanh Lam, and Martin Hirzel.
Workshop on Databases and AI (DBAI@NeurIPS), December 2021.
https://openreview.net/forum?id=u9ct1gjoDcn

.. code:: BibTeX

    @InProceedings{sahni_et_al_2021,
      title = "{RASL}: Relational Algebra in Scikit-Learn Pipelines",
      author = "Sahni, Chirag and Kate, Kiran and Shinnar, Avraham and Lam, Hoang Thanh and Hirzel, Martin",
      booktitle = "Workshop on Databases and AI (DBAI@NeurIPS)",
      year = 2021,
      month = dec,
      url = "https://openreview.net/forum?id=u9ct1gjoDcn" }


"Finding Data Compatibility Bugs with JSON Subschema Checking".
Andrew Habib, Avraham Shinnar, Martin Hirzel, and Michael Pradel.
International Symposium on Software Testing and Analysis (ISSTA), pages 620-632, July 2021.
https://doi.org/10.1145/3460319.3464796

**Winner of a Distinguished Artifact Award at ISSTA 2021.**

.. code:: BibTeX

    @InProceedings{habib_et_al_2021,
      title = "Finding Data Compatibility Bugs with {JSON} Subschema Checking",
      author = "Habib, Andrew and Shinnar, Avraham and Hirzel, Martin and Pradel, Michael",
      booktitle = "International Symposium on Software Testing and Analysis (ISSTA)",
      year = 2021,
      pages = "620--632",
      url = "https://doi.org/10.1145/3460319.3464796" }


"Engineering Fair Machine Learning Pipelines".
Martin Hirzel, Kiran Kate, and Parikshit Ram.
ICLR Workshop on Responsible AI (RAI@ICLR), May 2021.
http://hirzels.com/martin/papers/rai21-fairness.pdf

.. code:: BibTeX

    @InProceedings{hirzel_kate_ram_2021,
      title = "Engineering Fair Machine Learning Pipelines",
      author = "Hirzel, Martin and Kate, Kiran and Ram, Parikshit",
      booktitle = "ICLR Workshop on Responsible AI (RAI@ICLR)",
      year = 2021,
      month = may,
      url = "http://hirzels.com/martin/papers/rai21-fairness.pdf" }


"Extracting Hyperparameter Constraints from Code".
Ingkarat Rak-amnouykit, Ana Milanova, Guillaume Baudart,
Martin Hirzel, and Julian Dolby.
ICLR Workshop on Security and Safety in Machine Learning Systems (SecML@ICLR),
May 2021.
https://aisecure-workshop.github.io/aml-iclr2021/papers/18.pdf

.. code:: BibTeX

    @InProceedings{rakamnouykit_et_al_2021-secml,
      title = "Extracting Hyperparameter Constraints from Code",
      author = "Rak-amnouykit, Ingkarat and Milanova, Ana and Baudart, Guillaume and Hirzel, Martin and Dolby, Julian",
      booktitle = "ICLR Workshop on Security and Safety in Machine Learning Systems (SecML@ICLR)",
      year = 2021,
      month = may,
      url = "https://aisecure-workshop.github.io/aml-iclr2021/papers/18.pdf" }


"Lale: Consistent Automated Machine Learning".
Guillaume Baudart, Martin Hirzel, Kiran Kate, Parikshit Ram, and
Avraham Shinnar.
KDD Workshop on Automation in Machine Learning (AutoML@KDD), August 2020.
https://arxiv.org/abs/2007.01977

.. code:: BibTeX

    @InProceedings{baudart_et_al_2020-automl_kdd,
      title = "Lale: Consistent Automated Machine Learning",
      author = "Baudart, Guillaume and Hirzel, Martin and Kate, Kiran and Ram, Parikshit and Shinnar, Avraham",
      booktitle = "KDD Workshop on Automation in Machine Learning (AutoML@KDD)",
      year = 2020,
      month = aug,
      url = "https://arxiv.org/abs/2007.01977" }


"Mining Documentation to Extract Hyperparameter Schemas".
Guillaume Baudart, Peter Kirchner, Martin Hirzel, and Kiran Kate.
ICML Workshop on Automated Machine Learning (AutoML@ICML), July 2020.
https://arxiv.org/abs/2006.16984

.. code:: BibTeX

    @InProceedings{baudart_et_al_2020_automl_icml,
      title = "Mining Documentation to Extract Hyperparameter Schemas",
      author = "Baudart, Guillaume and Kirchner, Peter and Hirzel, Martin and Kate, Kiran",
      booktitle = "ICML Workshop on Automated Machine Learning (AutoML@ICML)",
      month = jul,
      year = 2020,
      url = "https://arxiv.org/abs/2006.16984" }


"A Semi-supervised Deep Learning Algorithm for Abnormal EEG Identification".
Subhrajit Roy, Kiran Kate, and Martin Hirzel.
Machine Learning for Health Workshop at NeurIPS (ML4H), December 2019.
https://arxiv.org/abs/1903.07822v2

.. code:: BibTeX

    @InProceedings{roy_kate_hirzel_2019,
      title = "A Semi-supervised Deep Learning Algorithm for Abnormal {EEG} Identification",
      author = "Roy, Subhrajit and Kate, Kiran and Hirzel, Martin",
      booktitle = "Machine Learning for Health Workshop at NeurIPS (ML4H)",
      month = dec,
      year = 2019,
      url = "https://arxiv.org/abs/1903.07822v2" }


"Type Safety with JSON Subschema".
Andrew Habib, Avraham Shinnar, Martin Hirzel, and Michael Pradel.
arXiv:1911.12651 [cs.PL], November 2019.
https://arxiv.org/abs/1911.12651

.. code:: BibTeX

    @Article{habib_et_al_2019,
      title = "Type Safety with {JSON} Subschema",
      author = "Habib, Andrew and Shinnar, Avraham and Hirzel, Martin and Pradel, Michael",
      journal = "CoRR",
      volume = "abs/1911.12651",
      year = 2019,
      month = nov,
      url = "https://arxiv.org/abs/1911.12651" }


"Type-Driven Automated Learning with Lale".
Martin Hirzel, Kiran Kate, Avraham Shinnar, Subhrajit Roy, and Parikshit Ram.
arXiv:1906.03957 [cs.PL], May 2019.
https://arxiv.org/abs/1906.03957

.. code:: BibTeX

    @Article{hirzel_et_al_2019,
      author = "Hirzel, Martin and Kate, Kiran and Shinnar, Avraham and Roy, Subhrajit and Ram, Parikshit",
      title = "Type-Driven Automated Learning with {Lale}",
      journal = "CoRR",
      volume = "abs/1906.03957",
      year = 2019,
      month = may,
      url = "https://arxiv.org/abs/1906.03957" }