activity
20152023
most citedA Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows

15 citations · 23 across the 6 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2022★ 1 cited

Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels

Marcus M. Noack, Harinarayan Krishnan, Mark D. Risser +1

A Gaussian Process (GP) is a prominent mathematical framework for stochastic function approximation in science and engineering applications. This success is largely attributed to t…