3 citations · 4 across the 3 of their papers we have counts for
3 papers
physics.data-an2023
Using Monte Carlo Tree Search to Calculate Mutual Information in High Dimensions
Nick Carrara, Jesse Ernst
Mutual information is an important measure of the dependence among variables. It has become widely used in statistics, machine learning, biology, etc. However, the standard techniq…
physics.data-an2019★ 1 cited
On the Estimation of Mutual Information
Nicholas Carrara, Jesse Ernst
In this paper we focus on the estimation of mutual information from finite samples . The main concern with estimations of mutual information is thei…
hep-ex2017★ 3 cited
On the Upper Limit of Separability
Nicholas Carrara, Jesse A. Ernst
We propose an approach to rapidly find the upper limit of separability between datasets that is directly applicable to HEP classification problems. The most common HEP classificati…