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20222026
most citedLow-rank optimization methods based on projected projected-gradient descent that accumulate at Bouligand stationary points

3 citations · 3 across the 5 of their papers we have counts for

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math.OC2026

MPFA: A Pareto Front Approximation Method for Riemannian Bi-objective Optimization

Kaiping Liu, P. -A. Absil, Jiawei Chen

We propose a Pareto front approximation (MPFA) method for smooth bi-objective optimization problems on Riemannian manifolds based on a Hermite interpolation technique. Compared wit…

math.OC2026

A second-order method landing on the Stiefel manifold via Newton$\unicode{x2013}$Schulz iteration

Xinhui Xiong, Bin Gao, P. -A. Absil

Retraction-free approaches offer attractive low-cost alternatives to Riemannian methods on the Stiefel manifold, but they are often first-order, which may limit the efficiency unde…