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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): Rrita Zejnullahi, University of Washington
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