activity
20192022
most citedAntithetic Riemannian Manifold And Quantum-Inspired Hamiltonian Monte Carlo

5 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2022

Imputation of Missing Streamflow Data at Multiple Gauging Stations in Benin Republic

Rendani Mbuvha, Julien Yise Peniel Adounkpe, Wilson Tsakane Mongwe +3

Streamflow observation data is vital for flood monitoring, agricultural, and settlement planning. However, such streamflow data are commonly plagued with missing observations due t…

stat.ML20215 cited

Antithetic Riemannian Manifold And Quantum-Inspired Hamiltonian Monte Carlo

Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala

Markov Chain Monte Carlo inference of target posterior distributions in machine learning is predominately conducted via Hamiltonian Monte Carlo and its variants. This is due to Ham…

stat.AP20211 cited

Predicting Higher Education Throughput in South Africa Using a Tree-Based Ensemble Technique

Rendani Mbuvha, Patience Zondo, Aluwani Mauda +1

We use gradient boosting machines and logistic regression to predict academic throughput at a South African university. The results highlight the significant influence of socio-eco…

stat.ML2021

Forecasting The JSE Top 40 Using Long Short-Term Memory Networks

Adam Balusik, Jared de Magalhaes, Rendani Mbuvha

As a result of the greater availability of big data, as well as the decreasing costs and increasing power of modern computing, the use of artificial neural networks for financial t…

stat.ML2021

Healing Products of Gaussian Processes

Samuel Cohen, Rendani Mbuvha, Tshilidzi Marwala +1

Gaussian processes (GPs) are nonparametric Bayesian models that have been applied to regression and classification problems. One of the approaches to alleviate their cubic training…

stat.ML20201 cited

An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection

Rendani Mbuvha, Illyes Boulkaibet, Tshilidzi Marwala

We present an Automatic Relevance Determination prior Bayesian Neural Network(BNN-ARD) weight l2-norm measure as a feature importance statistic for the model-x knockoff filter. We…