3 papers
cs.MS2025
A Computational Framework and Implementation of Implicit Priors in Bayesian Inverse Problems
Jasper M. Everink, Chao Zhang, Amal M. A. Alghamdi +3
Solving Bayesian inverse problems typically involves deriving a posterior distribution using Bayes' rule, followed by sampling from this posterior for analysis. Sampling methods, s…
stat.ML2025
Fast Gaussian Processes under Monotonicity Constraints
Chao Zhang, Jasper M. Everink, Jakob Sauer Jørgensen
Gaussian processes (GPs) are widely used as surrogate models for complicated functions in scientific and engineering applications. In many cases, prior knowledge about the function…
cs.MS2024
Democratizing Uncertainty Quantification
Linus Seelinger, Anne Reinarz, Mikkel B. Lykkegaard +22
Uncertainty Quantification (UQ) is vital to safety-critical model-based analyses, but the widespread adoption of sophisticated UQ methods is limited by technical complexity. In thi…