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作者：Mi, Xinlei; Tighe, Patrick; Zou, Fei; Zou, Baiming
作者单位：Northwestern University; State University System of Florida; University of Florida; University of North Carolina; University of North Carolina Chapel Hill
摘要：Deep Treatment Learning (deepTL), a robust yet efficient deep learning-based semiparametric regression approach, is proposed to adjust the complex confounding structures in comparative effectiveness analysis of observational data, for example, electronic health record (EHR) data in which complex confounding structures are often embedded. Specifically, we develop a deep learning neural network with a score-based ensembling scheme for flexible function approximation. An improved semiparametric p...
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作者：Benjamini, Yoav; De Veaux, Richard D.; Efron, Bradley; Evans, Scott; Glickman, Mark; Graubard, Barry, I; He, Xuming; Meng, Xiao-Li; Reid, Nancy; Stigler, Stephen M.; Vardeman, Stephen B.; Wikle, Christopher K.; Wright, Tommy; Young, Linda J.; Kafadar, Karen
作者单位：Tel Aviv University; Williams College; Stanford University; Stanford University; George Washington University; Harvard University; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI); University of Michigan System; University of Michigan; University of Toronto; University of Chicago; Iowa State University; Iowa State University; University of Missouri System; University of Missouri Columbia; United States Department of Agriculture (USDA); University of Virginia
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作者：Belbahri, Mouloud; Murua, Alejandro; Gandouet, Olivier; Nia, Vahid Partovi
作者单位：Universite de Montreal; Universite de Montreal; Polytechnique Montreal
摘要：Uplift models provide a solution to the problem of isolating the marketing effect of a campaign. For customer churn reduction, uplift models are used to identify the customers who are likely to respond positively to a retention activity, only if targeted, and to avoid wasting resources on customers that are very likely to switch to another company. In practice, the uplift models performance is measured by the Qini coefficient. We introduce a Qini-based uplift regression model to analyze a larg...
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作者：McDonald, Daniel J.; McBride, Michael; Gu, Yupeng; Raphael, Christopher
作者单位：University of British Columbia; Indiana University System; Indiana University Indianapolis; Indiana University System; Indiana University Indianapolis
摘要：For concertgoers, musical interpretation is the most important factor in determining whether or not we enjoy a classical performance. Every performance includes mistakes-intonation issues, a lost note, an unpleasant sound-but these are all easily forgotten (or unnoticed) when a performer engages her audience, imbuing a piece with novel emotional content beyond the vague instructions inscribed on the printed page. In this research we use data from the CHARM Mazurka Project-46 professional recor...
