23 citations · 30 across the 11 of their papers we have counts for
11 papers
OGBoost: A Python Package for Ordinal Gradient Boosting
Mansour T. A. Sharabiani, Alex Bottle, Alireza S. Mahani
This paper introduces OGBoost, a scikit-learn-compatible Python package for ordinal regression using gradient boosting. Ordinal variables (e.g., rating scales, quality assessments)…
Quantum Annealing Continuous Optimisation in Renewable Energy
Mansour T. A. Sharabiani, Vibe B. Jakobsen, Martin Jeppesen +1
Renewable energy optimisation poses computationally-intensive challenges. Yet, often the continuous nature of the decision space precludes the use of many emerging, non-von-Neumann…
Combining matching and linear regression: Introducing a mathematical framework and software for simulations, diagnostics and calibration
Alireza S. Mahani, Mansour T. A. Sharabiani
Combining matching and regression for causal inference provides double-robustness in removing treatment effect estimation bias due to confounding variables. In most real-world appl…
Stochastic Newton Sampler: R Package sns
Alireza S. Mahani, Asad Hasan, Marshall Jiang +1
The R package sns implements Stochastic Newton Sampler (SNS), a Metropolis-Hastings Monte Carlo Markov Chain algorithm where the proposal density function is a multivariate Gaussia…
Expander Framework for Generating High-Dimensional GLM Gradient and Hessian from Low-Dimensional Base Distributions: R Package RegressionFactory
Alireza S. Mahani, Mansour T. A. Sharabiani
The R package RegressionFactory provides expander functions for constructing the high-dimensional gradient vector and Hessian matrix of the log-likelihood function for generalized…
Alignment of metabolic trajectories with application to metabonomic toxicology
Mansour Taghavi Azar Sharabiani
Geometry of the metabolic trajectories is characteristic of the biological response (Keun, Ebbels et al. 2004). Yet, due to unavoidable inter-individual variations, the exact traje…
Multivariate-from-Univariate MCMC Sampler: R Package MfUSampler
Alireza S. Mahani, Mansour T. A. Sharabiani
The R package MfUSampler provides Monte Carlo Markov Chain machinery for generating samples from multivariate probability distributions using univariate sampling algorithms such as…
Efficient SIMD RNG for Varying-Parameter Streams: C++ Class BatchRNG
Alireza S. Mahani, Mansour T. A. Sharabiani
Single-Instruction, Multiple-Data (SIMD) random number generators (RNGs) take advantage of vector units to offer significant performance gain over non-vectorized libraries, but the…
Optimizing Metabonomic Spectral Replacement
Mansour Taghavi Azar Sharabiani
Metabonomics, the measure of the fingerprint of biochemical perturbations caused by disease, drugs or toxins, recently has become a major focus of research in various areas especia…
SIMD Parallel MCMC Sampling with Applications for Big-Data Bayesian Analytics
Alireza S. Mahani, Mansour T. A. Sharabiani
Computational intensity and sequential nature of estimation techniques for Bayesian methods in statistics and machine learning, combined with their increasing applications for big…
Metropolis-Hastings Sampling Using Multivariate Gaussian Tangents
Alireza S. Mahani, Mansour T. A. Sharabiani
We present MH-MGT, a multivariate technique for sampling from twice-differentiable, log-concave probability density functions. MH-MGT is Metropolis-Hastings sampling using asymmetr…