2 papers
math.OC2025
Stochastic gradient with least-squares control variates
Fabio Nobile, Matteo Raviola, Nathan Schaeffer
The stochastic gradient descent (SGD) method is a widely used approach for solving stochastic optimization problems, but its convergence is typically slow. Existing variance reduct…
astro-ph.IM2024
: GPU Accelerated Spherical Harmonic Transforms on Arbitrary Pixelizations
Sebastian Belkner, Adriaan J. Duivenvoorden, Julien Carron +2
We present , a general-purpose Python package that wraps a highly efficient CUDA implementation of the nonuniform spin- spherical harmonic transform. The metho…