22 citations · 27 across the 4 of their papers we have counts for
5 papers
Tractable Approximate Gaussian Inference for Bayesian Neural Networks
James-A. Goulet, Luong Ha Nguyen, Saeid Amiri
In this paper, we propose an analytical method for performing tractable approximate Gaussian inference (TAGI) in Bayesian neural networks. The method enables the analytical Gaussia…
Rbox: an integrated R package for ATOM Editor
Saeid Amiri
R is a programming language and environment that is a central tool in the applied sciences for writing program. Its impact on the development of modern statistics is inevitable. Cu…
Clustering categorical data via ensembling dissimilarity matrices
Saeid Amiri, Bertrand Clarke, Jennifer Clarke
We present a technique for clustering categorical data by generating many dissimilarity matrices and averaging over them. We begin by demonstrating our technique on low dimensional…
Exponentially Titled Empirical Distribution Function for Ranked Set Samples
Saeid Amiri, Mohammad Jafari Jozani, Reza Modarres
We study nonparametric estimation of the distribution function (DF) of a continuous random variable based on a ranked set sampling design using the exponentially tilted (ET) empiri…
A General Hybrid Clustering Technique
Saeid Amiri, Bertrand Clarke, Jennifer Clarke +1
Here, we propose a clustering technique for general clustering problems including those that have non-convex clusters. For a given desired number of clusters , we use three stag…