149 citations · 529 across the 35 of their papers we have counts for
6 papers · 1 filter
Convergence Results for a Class of Time-Varying Simulated Annealing Algorithms
Mathieu Gerber, Luke Bornn
We provide a set of conditions which ensure the almost sure convergence of a class of simulated annealing algorithms on a bounded set based on a ti…
FastGP: An R Package for Gaussian Processes
Giri Gopalan, Luke Bornn
Despite their promise and ubiquity, Gaussian processes (GPs) can be difficult to use in practice due to the computational impediments of fitting and sampling from them. Here we dis…
Moment conditions and Bayesian nonparametrics
Luke Bornn, Neil Shephard, Reza Solgi
Models phrased though moment conditions are central to much of modern inference. Here these moment conditions are embedded within a nonparametric Bayesian setup. Handling such a mo…
Classifying X-ray Binaries: A Probabilistic Approach
Giri Gopalan, Saeqa Dil Vrtilek, Luke Bornn
In X-ray binary star systems consisting of a compact object that accretes material from an orbiting secondary star, there is no straightforward means to decide if the compact objec…
Improving Simulated Annealing through Derandomization
Mathieu Gerber, Luke Bornn
We propose and study a version of simulated annealing (SA) on continuous state spaces based on -sequences. The parameter regulates the degree of ran…
Fast and optimal nonparametric sequential design for astronomical observations
Justin J. Yang, Xufei Wang, Pavlos Protopapas +1
The spectral energy distribution (SED) is a relatively easy way for astronomers to distinguish between different astronomical objects such as galaxies, black holes, and stellar obj…