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Activity Details
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204
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Tue, 8/4/2020,
10:00 AM -
2:00 PM
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Virtual
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Experimental Design — Contributed Papers
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Section on Statistical Learning and Data Science, Quality and Productivity Section
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Chair(s): Shan Ba, LinkedIn
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Generalization of Thompson Sampling for Multiple Categorical and Numerical Variables with Application for Fraud Detection
Alex Zolotovitski, T-Mobile
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Design of Experiment-based Configuration of Hyperparameters Of An Artificial Neural Network
Luca Pegoraro, University of Padova; Rosa Arboretti, University of Padova; Riccardo Ceccato, University of Padova; Luigi Salmaso, University of Padova
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How Twitter Makes Causal Inference If AB Test Fails
Wutao Wei, Twitter
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SoftBlock: Efficient and Optimal Treatment Assignment for Experiments
Peter Dimmery, Facebook; David Arbour, Adobe Research; Anup Rao, Adobe Research
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Satellite Images and Deep Learning to Indentify Discrepency in Mailing Addresses with Applications to Census 2020 in Houston
Zhaozhuo Xu, Rice University; Beidi Chen, Rice University; Alan Ji, Rice University; Anshumali Shrivastava, Rice University
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The Future Is Linked: Making Predictions with Data Sets Linked to Synthetic Populations
Emily Hadley, RTI International; Caroline Kery, RTI International; Georgiy Bobashev, RTI International; Lauren Grattan, RTI International
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Resampling Methods for FDR Control of A/B/N Tests with Arbitrary Dependencies
Michael Rotkowitz, Lyft
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