This is a preview. Log in through your library . Abstract For integer valued random variables, the translated Poisson distributions form a flexible family for approximation in total variation, in much ...

Dynamical low-rank approximation (DLRA) methods have emerged as a powerful numerical framework for addressing the challenges posed by high-dimensional problems. By restricting the evolution of a ...

To provide an automatic method for the regularization parameter when the noise level is known a priori, one way is to address the coupled Karush-Kuhn-Tucker (KKT) systems from the constrained total ...

Often, researchers expect sample average approximation to be more computationally intensive than a more popular method, known as stochastic gradient, which is used by ADVI.

Dynamical Low-Rank Approximation Methods Publication Trend The graph below shows the total number of publications each year in Dynamical Low-Rank Approximation Methods.