2 papers
cs.LG2025
Comparing BFGS and OGR for Second-Order Optimization
Adrian Przybysz, MikoÅaj KoÅek, Franciszek Sobota +1
Estimating the Hessian matrix, especially for neural network training, is a challenging problem due to high dimensionality and cost. In this work, we compare the classical Sherman-…
cs.LG2025
Linear cost mutual information estimation and independence test of similar performance as HSIC
Jarek Duda, Jagoda Bracha, Adrian Przybysz
Evaluation of statistical dependencies between two data samples is a basic problem of data science/machine learning, and HSIC (Hilbert-Schmidt Information Criterion)~\cite{HSIC} is…