Peter Song, Department of Biostatistics, University of Michigan Title: Supervised Homogeneity Pursuit via Mixed Integer Optimization Abstract: Stratification is one statistical principle in data processing to mitigate the underlying population heterogeneity, which is typically handled by clustering when stratum labels are … Read more

TITLE: Generative Quantile Regression with Variability Penalty ABSTRACT: Quantile regression and conditional density estimation can reveal structure that is missed by mean regression, such as multimodality and skewness. In this talk, we introduce a deep learning generative model for joint quantile estimation … Read more

Sajad Mordaresi Kenan-Flagler Business School University of Northing Carolina at Chapel Hill   Exploration Optimization for Dynamic Assortment Personalization under Linear Preferences Abstract We study the dynamic assortment personalization problem of an online retailer that adaptively customizes assortments based on … Read more

Sara Shashaani Department of Industrial and Systems Engineering North Carolina State University   Title: Adaptive Sampling with Trust-region Optimization for Nonconvex Stochastic Functions. Abstract: Simulation Optimization problems are often non-convex, derivative-free, and with stochastic noise that may be notably heteroskedastic. There is … Read more

Generative modeling with trees and recursive partitions Trees and recursive partitions are most well-known in supervised learning for predictive tasks, such as regression and classification. Famous examples include CART and its various forms of ensembles—e.g., random forest and boosting. A … Read more

Mike Baiocchi Department of Epidemiology and Population Health Stanford University