… Abstract—We introduce Boundary Focused Thompson sampling (BFTS), a new Bayesian
algorithm to solve the anytime m-top exploration problem, where the objective is to identify the …

… is thus a natural fit for the anytime explore-m problem. Apart … potential for the anytime m-top
exploration bandit to support … the m-top exploration problem, and propose the first Bayesian …

… be communicated to policy makers, which is naturally embedded in a Bayesian approach. …
with a Bayesian anytime m-top exploration algorithm. m-top exploration allows the algorithm …

… (BFTS), a new Bayesian algorithm to solve the anytime m-top exploration problem, where the
… show that BFTS’ exploration scheme is well grounded through a formal Bayesian analysis. …

… to explore various astrophysical scenarios for the origin of … investigation for our NSBH-GRB-M
top and NSBH-GRB-M … , our NSBH-GRB-M top analysis suggests that an NSBH merger …

… Bayesian framework. This paper is organized as follows: in section 2, we present plug-in and
Bayesian … improvement, which aims at reinforcing exploration in regions of profile optima. …

… who always cheered me up whenever I felt stressed throughout this … explore supervised
machine learning and need for Bayesian … In Chapter 3, we explore the background to this work in …

… The experiments are all adapted from previous work on hierarchical Bayesian models (cf. [1,
… We show how to explore the space of possible estimates by varying the hyperparameters, …

… We show this problem persists using different statistical tests and a Bayesian analysis of
the data. We show how two methods for incorporating knowledge of the bandit algorithm into …

… In this paper, we explore these consequences by explicitly … We propose and employ a
Bayesian method of performance … to invest in an active manager whenever the point estimate of …