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William Herlands

Carnegie Mellon University

Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact


Dec 21, 2018
Maria De-Arteaga, Amanda Coston, William Herlands

* 17 papers in the proceedings. 11 additional papers were presented at the workshop but not included in the proceedings 

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Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction


Oct 30, 2018
William Herlands, Daniel B. Neill, Hannes Nickisch, Andrew Gordon Wilson


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Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data


Apr 04, 2018
William Herlands, Edward McFowland III, Andrew Gordon Wilson, Daniel B. Neill

* Presented at AISTATS 2018. 11 pages. Supplement to main paper is included here as an appendix 

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Proceedings of NIPS 2017 Workshop on Machine Learning for the Developing World


Dec 12, 2017
Maria De-Arteaga, William Herlands

* 15 papers 

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Proceedings of NIPS 2017 Symposium on Interpretable Machine Learning


Dec 12, 2017
Andrew Gordon Wilson, Jason Yosinski, Patrice Simard, Rich Caruana, William Herlands

* 25 papers 

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Machine Learning for Drug Overdose Surveillance


Oct 06, 2017
Daniel B. Neill, William Herlands

* Presented at the Data For Good Exchange 2017 

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Proceedings of NIPS 2016 Workshop on Interpretable Machine Learning for Complex Systems


Nov 28, 2016
Andrew Gordon Wilson, Been Kim, William Herlands

* 31 papers 

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Lass-0: sparse non-convex regression by local search


Feb 17, 2016
William Herlands, Maria De-Arteaga, Daniel Neill, Artur Dubrawski

* 8 pages, 1 figure. NIPS 2015 Workshop of Optimization (OPT2015) 

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Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces


Nov 13, 2015
William Herlands, Andrew Wilson, Hannes Nickisch, Seth Flaxman, Daniel Neill, Wilbert van Panhuis, Eric Xing

* 18 pages, 8 figures 

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