25 citations · 29 across the 4 of their papers we have counts for
5 papers
Domain Adaptation with Target Information via Doubly-Anchored Distributionally Robust Optimization
David Kepplinger, Anand N. Vidyashankar
Domain Adaptation (DA) often lacks worst-case guarantees, while Distributionally Robust Optimization (DRO) based only on source data centers its ambiguity set at the source law and…
Robust Estimation of Polychoric Correlation for Complex Survey Designs Using Minimum Divergence Methods
Siqi Wei, David Kepplinger, Anand N. Vidyashankar
Standard maximum likelihood estimation of polychoric correlations is highly sensitive to contamination in survey data, including response errors, interviewer effects, and careless…
Stable and Robust Hyper-Parameter Selection Via Robust Information Sharing Cross-Validation
David Kepplinger, Siqi Wei
Robust estimators for linear regression require non-convex objective functions to shield against adverse affects of outliers. This non-convexity brings challenges, particularly whe…
Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression
David Kepplinger
Heavy-tailed error distributions and predictors with anomalous values are ubiquitous in high-dimensional regression problems and can seriously jeopardize the validity of statistica…
Variable selection with genetic algorithms using repeated cross-validation of PLS regression models as fitness measure
David Kepplinger, Peter Filzmoser, Kurt Varmuza
Genetic algorithms are a widely used method in chemometrics for extracting variable subsets with high prediction power. Most fitness measures used by these genetic algorithms are b…