no code implementations • ICML 2020 • samuel cohen, Rendani Mbuvha, Tshilidzi Marwala, Marc Deisenroth
Gaussian processes (GPs) are nonparametric Bayesian models that have been applied to regression and classification problems.
no code implementations • 5 May 2023 • Anthony Constantinou, Neville K. Kitson, Yang Liu, Kiattikun Chobtham, Arian Hashemzadeh, Praharsh A. Nanavati, Rendani Mbuvha, Bruno Petrungaro
Causal machine learning (ML) algorithms recover graphical structures that tell us something about cause-and-effect relationships.
1 code implementation • 8 Apr 2023 • Rendani Mbuvha, David I. Adelani, Tendani Mutavhatsindi, Tshimangadzo Rakhuhu, Aluwani Mauda, Tshifhiwa Joshua Maumela, Andisani Masindi, Seani Rananga, Vukosi Marivate, Tshilidzi Marwala
Named Entity Recognition (NER) plays a vital role in various Natural Language Processing tasks such as information retrieval, text classification, and question answering.
no code implementations • 17 Nov 2022 • Rendani Mbuvha, Julien Yise Peniel Adounkpe, Wilson Tsakane Mongwe, Mandela Houngnibo, Nathaniel Newlands, Tshilidzi Marwala
We show by simulating missingness in a testing period that GESS forecasts have a significant bias that results in low predictive skill over the ten Beninese stations.
no code implementations • 5 Jul 2021 • Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala
The Riemannian Manifold Hamiltonian Monte Carlo algorithm improves on Hamiltonian Monte Carlo by taking into account the local geometry of the target, which is beneficial for target densities that may exhibit strong correlations in the parameters.
no code implementations • 12 Jun 2021 • Rendani Mbuvha, Patience Zondo, Aluwani Mauda, Tshilidzi Marwala
We use gradient boosting machines and logistic regression to predict academic throughput at a South African university.
no code implementations • 20 Apr 2021 • Adam Balusik, Jared de Magalhaes, Rendani Mbuvha
This paper uses a long-short term memory network to perform financial time series forecasting on the return data of the JSE Top 40 index.
1 code implementation • 14 Feb 2021 • samuel cohen, Rendani Mbuvha, Tshilidzi Marwala, Marc Peter Deisenroth
Gaussian processes (GPs) are nonparametric Bayesian models that have been applied to regression and classification problems.
no code implementations • 6 Jan 2020 • 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.
no code implementations • 14 Jun 2019 • Rendani Mbuvha, Illyes Boulkaibet, Tshilidzi Marwala
Credit risk modelling is an integral part of the global financial system.
no code implementations • 18 Jan 2017 • Ludvig Ericson, Rendani Mbuvha
Artificial Neural Networks (ANNs) have received increasing attention in recent years with applications that span a wide range of disciplines including vital domains such as medicine, network security and autonomous transportation.