2 papers
stat.ML2025
Gaussian Process Assisted Meta-learning for Image Classification and Object Detection Models
Anna R. Flowers, Christopher T. Franck, Robert B. Gramacy +1
Collecting operationally realistic data to inform machine learning models can be costly. Before collecting new data, it is helpful to understand where a model is deficient. For exa…
stat.ME2025
Modular Jump Gaussian Processes
Anna R. Flowers, Christopher T. Franck, Mickaël Binois +2
Gaussian processes (GPs) furnish accurate nonlinear predictions with well-calibrated uncertainty. However, the typical GP setup has a built-in stationarity assumption, making it il…