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CC = Colorado Convention Center   H = Hyatt Regency Denver at Colorado Convention Center
* = applied session       ! = JSM meeting theme

Activity Details

228 * ! Mon, 7/29/2019, 2:00 PM - 3:50 PM CC-607
Interpreting Machine Learning Models: Opportunities, Challenges, and Applications — Topic Contributed Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Section on Statistical Computing
Organizer(s): Vijayan Nair, Wells Fargo & University of Michigan, Ann Arbor
Chair(s): Joel B. Brodsky, Wells Fargo
2:05 PM Understanding the Effects of Predictor Variables in Black-Box Supervised Learning Models

Daniel W Apley, Northwestern University
2:25 PM Deep Insights into Explainability and Interpretability of Machine Learning Algorithms and Applications to Risk Management

Jie Chen, Wells Fargo
2:45 PM Increasing Trust and Interpretability in Machine Learning with Model Debugging

Patrick Hall,
3:05 PM Detecting Interpretable Insights from Large-Scale Time Series Data
Qing Feng, Facebook; Sean Taylor , Facebook
3:25 PM Floor Discussion