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CC = Walter E. Washington Convention Center M = Marriott Marquis Washington, DC
* = applied session ! = JSM meeting theme
Activity Details
149
Mon, 8/8/2022,
10:30 AM -
12:20 PM
CC-144A
Statistical Learning for Decision Support — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): David Kline, Wake Forest University
10:35 AM
Generalized V-Learning Framework for Estimating Dynamic Treatment Regimes
Duyeol Lee, Wells Fargo ; Michael Kosorok, University of North Carolina at Chapel Hill
10:50 AM
Assign Experiment Variants at Scale in Online Controlled Experiments
Qike Li, Wish ; Samir Jamkhande, Wish
11:05 AM
A Scalable and Flexible Cox Proportional Hazard Model for High-Dimensional Survival Prediction and Functional Selection
Boyi Guo, University of Alabama at Birmingham ; Nengjun Yi, University of Alabama at Birmingham
11:20 AM
On Kernel Fusion and Learning for Kernels Ensuing from the Decision and Regression Tree Ensembles
Dai Feng, AbbVie ; David Windridge, Middlesex University London; University of Surrey; Santosh Tirunagari, Middlesex University London; Richard Baumgartner, Merck Research Laboratories
11:35 AM
A Workflow Time Study to Estimate Savings from the Implementation of a Machine Learning Algorithm to Automate Fall Risk Assessment
Gregg M Gascon, OhioHealth ; Erika Braun, OhioHealth; Victoria Zigmont, OhioHealth; Amy Tracy, OhioHealth; Michelle Murray, OhioHealth; Shalunda Tyler, OhioHealth; Jason Kaufman, OhioHealth; Stephanie Risteff, OhioHealth (retired); Eleanora Vassileva, OhioHealth; Bradley Waller, The Ohio State University; J. Michael Kramer, OhioHealth
11:50 AM
Stochastic Ordered Empirical Risk Minimization
Ronak Mehta, University of Washington ; Krishna Pillutla, University of Washington; Vincent Roulet, University of Washington; Zaid Harchaoui, University of Washington
12:05 PM
How Real Is Synthetic Missing Data? Impact of Missing Pattern Modeling on Imputer Evaluation
Rohan Chakraborty, pymetrics ; Ambar Kleinbort, pymetrics; Janelle Szary, pymetrics; Anne Thissen-Roe, pymetrics