602 citations · 2k across the 59 of their papers we have counts for
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Characteristic and Universal Tensor Product Kernels
Zoltan Szabo, Bharath K. Sriperumbudur
Maximum mean discrepancy (MMD), also called energy distance or N-distance in statistics and Hilbert-Schmidt independence criterion (HSIC), specifically distance covariance in stati…
Adaptive Clustering Using Kernel Density Estimators
Ingo Steinwart, Bharath K. Sriperumbudur, Philipp Thomann
We derive and analyze a generic, recursive algorithm for estimating all splits in a finite cluster tree as well as the corresponding clusters. We further investigate statistical pr…
Approximate Kernel PCA Using Random Features: Computational vs. Statistical Trade-off
Bharath Sriperumbudur, Nicholas Sterge
Kernel methods are powerful learning methodologies that allow to perform non-linear data analysis. Despite their popularity, they suffer from poor scalability in big data scenarios…