4 citations · 4 across the 2 of their papers we have counts for
3 papers
math.PR2021
Hamilton-Jacobi-Bellman equations for Chemical Reaction Networks
Michael Snarski
This is an expository note on large deviations, Hamilton-Jacobi-Bellman (HJB) equations, and the role of the Freidlin-Wentzell quasipotential in Chemical Reaction Networks (CRNs).…
stat.ML2020★ 4 cited
Efficient hyperparameter optimization by way of PAC-Bayes bound minimization
John J. Cherian, Andrew G. Taube, Robert T. McGibbon +6
Identifying optimal values for a high-dimensional set of hyperparameters is a problem that has received growing attention given its importance to large-scale machine learning appli…
math.PR2018
Infinite Swapping using IID Samples
Paul Dupuis, Guo-Jhen Wu, Michael Snarski
We propose a new method for estimating rare event probabilities when independent samples are available. It is assumed that the underlying probability measures satisfy a large devia…