Legend:
CC = Vancouver Convention Centre
F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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577 * !
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Wed, 8/1/2018,
2:00 PM -
3:50 PM
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CC-West 110
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Statistical Methods for Interpreting Machine Learning Algorithms - with Implications for Targeting — Topic Contributed Papers
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Section on Statistical Learning and Data Science
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Organizer(s): DeDe Paul, AT&T Labs Research
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Chair(s): Cheryl Flynn, AT&T Labs Research
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2:05 PM
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On the Art and Science of Machine Learning Explanations
Patrick Hall, H20.ai
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2:25 PM
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An Algorithm for Removing Sensitive Information
James Johndrow, Stanford University; Kristian Lum, Human Rights Data Analysis Group
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2:45 PM
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Local, Model-Agnostic Explanations of Machine Learning Predictions
Sameer Singh, University of California, Irvine
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3:05 PM
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Can We Compute an Optimal Sparse Decision Tree?
Cynthia Rudin, Duke University; Elaine Angelino, Berkeley; Nicholas Larus-Stone, Cambridge; Margo Seltzer, Harvard; Daniel Alabi, Harvard
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3:25 PM
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Beyond Feature Attribution: Quantitative Concept-Based Interpretability with TCAV
Been Kim, Google Brain
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3:45 PM
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Floor Discussion
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