2 papers
math.ST2025
Spectral Regularized Kernel Goodness-of-Fit Tests
Omar Hagrass, Bharath K. Sriperumbudur, Bing Li
Maximum mean discrepancy (MMD) has enjoyed a lot of success in many machine learning and statistical applications, including non-parametric hypothesis testing, because of its abili…
math.ST2024
Spectral Regularized Kernel Two-Sample Tests
Omar Hagrass, Bharath K. Sriperumbudur, Bing Li
Over the last decade, an approach that has gained a lot of popularity to tackle nonparametric testing problems on general (i.e., non-Euclidean) domains is based on the notion of re…