Statistics: Making an Impact
July 27 – August 1, 2019
Colorado Convention Center
JSM 2019 Online Program
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interpretability
returned 7 record(s)
Monday, 07/29/2019
Visual Diagnostics of a Model Explainer: Tools for the Assessment of LIME Explanations from Random Forests
Katherine Goode, Iowa State University; Heike Hofmann, Iowa State University
Visual Diagnostics of a Model Explainer: Tools for the Assessment of LIME Explanations from Random Forests
Katherine Goode, Iowa State University; Heike Hofmann, Iowa State University
9:40 AM
Deep Insights into Explainability and Interpretability of Machine Learning Algorithms and Applications to Risk Management
Jie Chen, Wells Fargo
2:25 PM
Increasing Trust and Interpretability in Machine Learning with Model Debugging
Patrick Hall, H2O.ai
2:45 PM
On Posterior Contraction of Parameters and Interpretability in Bayesian Mixture Modeling
Aritra Guha, University of Michigan
3:05 PM
Thursday, 08/01/2019
Relative Importance of Predictors of Artificial Neural Network Modeling Results with Applications to Evaluating Vasopressor Treatments for Subarachnoid Hemorrhage (SAH) Patients
Duo Yu, University of Texas Health Science Center at Houston; Hulin MI Wu, University of Texas Health Science Center at Houston
9:50 AM
Do We Need Black Box Models in Criminal Justice?
Cynthia Rudin, Duke University
10:35 AM
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