A one-bit, comparison-based gradient estimator

A Distributed One-Step Estimator

Distributed statistical inference has recently attracted enormous attention. Many existing work focuses on the averaging estimator. We propose a one-step approach to enhance a simple-averaging based distributed estimator. We derive the corresponding asymptotic properties of the newly proposed estimator. We find that the proposed one-step estimator enjoys the same asymptotic properties as the ce...

Gradient-Based Blind Deconvolution with Flexible Approximated Bayesian Estimator

In this paper a new blind deconvolution algorithm as modzjkation of the Bellini ‘s ‘Bussgang ’ is presented. Firstly, a novel version based on stochastic Gradient Steepest Descent error minimization technique isproposed. Then the Bayesian estimator used by Bellini is approximated with a flexible Sigmoid’ parameterized with adjustable amplitude and slope, and a gradient-based technique is propos...

One-Bit ExpanderSketch for One-Bit Compressed Sensing

Is it possible to obliviously construct a set of hyperplanes H such that you can approximate a unit vector x when you are given the side on which the vector lies with respect to every h ∈ H? In the sparse recovery literature, where x is approximately k-sparse, this problem is called onebit compressed sensing and has received a fair amount of attention the last decade. In this paper we obtain th...

A Novel ICA-based Estimator for Software Cost Estimation

One of the most important and valuable goal of software development life cycle is software cost estimation or SCE. During the recent years, SCE has attracted the attention of researchers due to huge amount of software project requests. There have been proposed so many models using heuristic and meta-heuristic algorithms to do machine learning process for SCE. COCOMO81 is one of the most popular...

One Bit of Advi