Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme
Activity Details
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228 * !
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Mon, 7/29/2019,
2:00 PM -
3:50 PM
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CC-607
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Interpreting Machine Learning Models: Opportunities, Challenges, and Applications — Topic Contributed Papers
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Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Section on Statistical Computing
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Organizer(s): Vijayan Nair, Wells Fargo & University of Michigan, Ann Arbor
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Chair(s): Joel B. Brodsky, Wells Fargo
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2:05 PM
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Understanding the Effects of Predictor Variables in Black-Box Supervised Learning Models
Daniel W Apley, Northwestern University
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2:25 PM
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Deep Insights into Explainability and Interpretability of Machine Learning Algorithms and Applications to Risk Management
Jie Chen, Wells Fargo
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2:45 PM
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Increasing Trust and Interpretability in Machine Learning with Model Debugging
Patrick Hall, H2O.ai
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3:05 PM
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Detecting Interpretable Insights from Large-Scale Time Series Data
Qing Feng, Facebook; Sean Taylor , Facebook
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3:25 PM
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Floor Discussion
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