CS3d: Perspectives in Practice and Discovery -- WSDS 2025

Comparing Regression Coefficient Estimators with Interval-Censored Exposure Data

11:45 AM - 1:15 PM

Co-authors: Chloe Krakauer (Kaiser Permanente Washington Health Research Institute), Sarah Tom (Columbia University), Chloe Krakauer (Kaiser Permanente Washington Health Research Institute), Rebecca Hubbard (Brown University), Yu Huang (Columbia University)

dementia interval-censored Gibbs sampler multiple imputation tipping point

Novel application of mathematical, machine learning, and deep learning methods for analysis of multivariate time series ambulatory blood pressure data

11:45 AM - 1:15 PM

Co-authors: Kristina Vatcheva (University of Texas Rio Grande Valley), Roberto Arias (University of Texas Rio Grande Valley), Kristina Vatcheva (University of Texas Rio Grande Valley), John Knight (University of Texas Rio Grande Valley), Sebastian Torres, Gladys Maestre (Rio Grande Valley Alzheimer’s Disease Resource Center for Minority Aging Research (RGV AD-RCMAR),)

Ambulatory blood pressure monitoring (ABPM)dynamic time warping (DTW)transformers multiresolution analysis

The Lumpen Variable: A Phantom in Machine Learning

11:45 AM - 1:15 PM

Co-authors: Trey Roark (Georgetown University), Trey Roark (Georgetown University)

Machine Learning Fairness Queer Theory Causal Inference Graph Theory Epistemic Constraints

Withdrawn - Machine Learning Valuations and Cross-Linguistic Information Asymmetry in Two-Stage Domain Auctions: Evidence from a Randomized Experiment

11:45 AM - 1:15 PM

Co-authors: Siqi Li, Siqi Li

Machine Learning Valuations Two-Stage Auctions Randomized Controlled Trial Natural Language Processing Information Asymmetry Cross-Linguistic Bias

CS3d: Perspectives in Practice and Discovery

4 Presentations