11 citations · 11 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 11 cited
Universal Approximation in Dropout Neural Networks
Oxana A. Manita, Mark A. Peletier, Jacobus W. Portegies +2
We prove two universal approximation theorems for a range of dropout neural networks. These are feed-forward neural networks in which each edge is given a random -valued f…
math.PR2018
On convergence of 1D Markov diffusions to heavy-tailed invariant density
O. A. Manita, A. Yu. Veretennikov
Rate of convergence is studied for a diffusion process on the half line with a non-sticky reflection to a heavy-tailed 1D invariant distribution which density on the half line has…