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Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals


Jun 01, 2021
Jiri Navratil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna Sattigeri

* 10 pages main paper, 9 pages appendix 

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Learning Prediction Intervals for Model Performance


Dec 15, 2020
Benjamin Elder, Matthew Arnold, Anupama Murthi, Jiri Navratil

* 7+6 pages, 5 figures, AAAI 2021 

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Not Your Grandfathers Test Set: Reducing Labeling Effort for Testing


Jul 10, 2020
Begum Taskazan, Jiri Navratil, Matthew Arnold, Anupama Murthi, Ganesh Venkataraman, Benjamin Elder

* International Workshop on Challenges in Deploying and Monitoring Machine Learning Systems in Conjunction with ICML 2020 

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Uncertainty Prediction for Deep Sequential Regression Using Meta Models


Jul 02, 2020
Jiri Navratil, Matthew Arnold, Benjamin Elder

* 8 pages main paper + 11 pages appendix/references; 10 figures 

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Towards Automating the AI Operations Lifecycle


Mar 28, 2020
Matthew Arnold, Jeffrey Boston, Michael Desmond, Evelyn Duesterwald, Benjamin Elder, Anupama Murthi, Jiri Navratil, Darrell Reimer


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NeuNetS: An Automated Synthesis Engine for Neural Network Design


Jan 17, 2019
Atin Sood, Benjamin Elder, Benjamin Herta, Chao Xue, Costas Bekas, A. Cristiano I. Malossi, Debashish Saha, Florian Scheidegger, Ganesh Venkataraman, Gegi Thomas, Giovanni Mariani, Hendrik Strobelt, Horst Samulowitz, Martin Wistuba, Matteo Manica, Mihir Choudhury, Rong Yan, Roxana Istrate, Ruchir Puri, Tejaswini Pedapati

* 14 pages, 12 figures. arXiv admin note: text overlap with arXiv:1806.00250 

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