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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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Analysis of a Design Pattern for Teaching with Features and Labels


Nov 18, 2016
Christopher Meek, Patrice Simard, Xiaojin Zhu

* Also available at https://www.microsoft.com/en-us/research/publication/a-design-pattern-for-teaching-with-features-and-labels/ 

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Interactive Semantic Featuring for Text Classification


Jun 24, 2016
Camille Jandot, Patrice Simard, Max Chickering, David Grangier, Jina Suh

* presented at 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016), New York, NY 

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ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems


Sep 16, 2014
Patrice Simard, David Chickering, Aparna Lakshmiratan, Denis Charles, Leon Bottou, Carlos Garcia Jurado Suarez, David Grangier, Saleema Amershi, Johan Verwey, Jina Suh


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Counterfactual Reasoning and Learning Systems


Jul 27, 2013
Léon Bottou, Jonas Peters, Joaquin Quiñonero-Candela, Denis X. Charles, D. Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Simard, Ed Snelson

* revised version 

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