Search Results for author: Vladimir Svetnik

Found 3 papers, 1 papers with code

Challenges in Variable Importance Ranking Under Correlation

no code implementations5 Feb 2024 Annie Liang, Thomas Jemielita, Andy Liaw, Vladimir Svetnik, Lingkang Huang, Richard Baumgartner, Jason M. Klusowski

Recently, several adjustments to marginal permutation utilizing feature knockoffs were proposed to address this issue, such as the variable importance measure known as conditional predictive impact (CPI).

Feature Correlation Interpretable Machine Learning

Development and Evaluation of Conformal Prediction Methods for QSAR

no code implementations3 Apr 2023 Yuting Xu, Andy Liaw, Robert P. Sheridan, Vladimir Svetnik

The quantitative structure-activity relationship (QSAR) regression model is a commonly used technique for predicting biological activities of compounds using their molecular descriptors.

Conformal Prediction Prediction Intervals +1

The Reciprocal Bayesian LASSO

1 code implementation23 Jan 2020 Himel Mallick, Rahim Alhamzawi, Erina Paul, Vladimir Svetnik

A reciprocal LASSO (rLASSO) regularization employs a decreasing penalty function as opposed to conventional penalization approaches that use increasing penalties on the coefficients, leading to stronger parsimony and superior model selection relative to traditional shrinkage methods.

Bayesian Inference Model Selection +2

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