Author

L. Jolaoso

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Preprint Sep 2026

A Riemannian Inertial Adaptive Gradient Method with Momentum Restart

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 AdaGrad-type adaptive step-size that requires no knowledge of the Lipschitz constant; inertial extrapolation in the tangent space via the exp...

L. Jolaoso, P. V. Ndlovu, M. Aphane · 0 citations

Preprint Sep 2026

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

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 a complete understanding of the complexity limits of this oracle class. We develop a theory that resolves the critical gaps left by their pi...

Yong-Hong Yao, L. Jolaoso, Y. Shehu et al. · 0 citations