activity
20202026
most citedA robust regularized extreme learning machine for regression problems based on self-adaptive accelerated extra-gradient algorithm

1 citations · 2 across the 6 of their papers we have counts for

collaborators

8 papers

math.OC2026

A Riemannian Inertial Adaptive Gradient Method with Momentum Restart

Lateef O. Jolaoso, Professer V. Ndlovu, Maggie Aphane

We propose RIAG-R, a Riemannian Inertial Adaptive Gradient method with gradient-triggered Restart, for optimization on Riemannian manifolds. RIAG-R combines three ingredients: an A…

math.OC2026

Primal Methods for Constrained Variational Inequalities: Optimal Rates, Feasibility Trade-offs, and Lower Bounds

Yonghong Yao, Lateef O. Jolaoso, Yekini Shehu +1

Since Zhang et al. \cite{Zhang2025} introduced the first purely primal methods for monotone variational inequalities subject to convex functional constraints, the field has lacked…

math.OC2024

Three-Operator Splitting Method with Two-Step Inertial Extrapolation

Olaniyi S. Iyiola, Lateef O. Jolaoso, Yekini Shehu

The aim of this paper is to study the weak convergence analysis of sequence of iterates generated by a three-operator splitting method of Davis and Yin incorporated with two-step i…

math.OC2024

New Douglas-Rashford Splitting Algorithms for Generalized DC Programming with Applications in Machine Learning

Yonghong Yao, Lateef O. Jolaoso, Yekini Shehu +1

In this work, we propose some new Douglas-Rashford splitting algorithms for solving a class of generalized DC (difference of convex functions) in real Hilbert spaces. The proposed…

math.OC2024

Linear Convergence Results for Inertial Type Projection Algorithm for Quasi-Variational Inequalities

Yonghong Yao, Lateef O. Jolaoso, Yekini Shehu

Many recently proposed gradient projection algorithms with inertial extrapolation step for solving quasi-variational inequalities in Hilbert spaces are proven to be strongly conver…

math.OC2024★ 1 cited

A robust regularized extreme learning machine for regression problems based on self-adaptive accelerated extra-gradient algorithm

Muideen Adegoke, Lateef O. Jolaoso, Mardiyyah Oduwole

The Extreme Learning Machine (ELM) technique is a machine learning approach for constructing feed-forward neural networks with a single hidden layer and their models. The ELM model…

math.OC2023★ 1 cited

A fresh look at nonsmooth Levenberg--Marquardt methods with applications to bilevel optimization

Lateef O. Jolaoso, Patrick Mehlitz, Alain B. Zemkoho

In this paper, we revisit the classical problem of solving over-determined systems of nonsmooth equations numerically. We suggest a nonsmooth Levenberg--Marquardt method for its so…

math.HO2020

Intercultural Science-Art Project 'Magritte Meet Science'

Danilo Gregorin Afonso, Mary Oluwabunmi Akinade, Đorđe Baralić +10

In this manuscript a joint project between young researchers from all around the world, the Intercultural Science-Art Project, is presented, in which all participants interpreted t…