On Estimation and Optimization of Mean Values of Bounded Variables
arXiv:0804.1399
Abstract
In this paper, we develop a general approach for probabilistic estimation and optimization. An explicit formula and a computational approach are established for controlling the reliability of probabilistic estimation based on a mixed criterion of absolute and relative errors. By employing the Chernoff-Hoeffding bound and the concept of sampling, the minimization of a probabilistic function is transformed into an optimization problem amenable for gradient descendent algorithms.
10 pages, no figure. Generalized to the case of bounded variables