3 papers
cs.LG2025
Gaussian Process Tilted Nonparametric Density Estimation using Fisher Divergence Score Matching
John Paisley, Wei Zhang, Brian Barr
We propose a nonparametric density estimator based on the Gaussian process (GP) and derive three novel closed form learning algorithms based on Fisher divergence (FD) score matchin…
cs.LG2025
An Explainable Gaussian Process Auto-encoder for Tabular Data
Wei Zhang, Brian Barr, John Paisley
Explainable machine learning has attracted much interest in the community where the stakes are high. Counterfactual explanations methods have become an important tool in explaining…
cs.LG2025
Tabular Diffusion Counterfactual Explanations
Wei Zhang, Brian Barr, John Paisley
Counterfactual explanations methods provide an important tool in the field of {interpretable machine learning}. Recent advances in this direction have focused on diffusion models t…