2 papers
cs.LG2026
From Garbage to Gold: A Data-Architectural Theory of Predictive Robustness
Terrence J. Lee-St. John, Jordan L. Lawson, Bartlomiej Piechowski-Jozwiak
Tabular machine learning presents a paradox: modern models achieve state-of-the-art performance using high-dimensional (high-D), collinear, error-prone data, defying the "Garbage I…
stat.ME2021
A generalized bootstrap procedure of the standard error and confidence interval estimation for inverse probability of treatment weighting
Tenglong Li, Jordan Lawson
The inverse probability of treatment weighting (IPTW) approach is commonly used in propensity score analysis to infer causal effects in regression models. Due to oversized IPTW wei…