"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.
@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.
@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
@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
@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
@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
@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.
@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.
@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
@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.
@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
@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
@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
@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
@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
@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
@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
@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" }