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math.NA2026
New hierarchical matrices for fast kernel matrix-vector products with Applications to Gaussian processes and kernel ridge regression
Ritesh Khan, Sivaram Ambikasaran
This article presents two new multilevel hierarchical matrices to perform fast kernel matrix-vector products in dimensions , namely , $\mathca…
math.NA2026
Integer-Quantized Hierarchical Matrices with Adaptive Bit Allocation
Erin Carson, Xinye Chen, Ritesh Khan
We present an adaptive bitwidth allocation method for quantizing low-rank factors in hierarchical matrices in order to decrease storage while meeting a given constraint on their re…
math.NA2026
Hybrid hierarchical matrices with adaptive mixed precision storage
Ritesh Khan, Erin Carson
Hierarchical matrices are data-sparse approximations of dense matrices that are widely used for fast matrix computations. Hierarchical matrices are built using a tree data structur…