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math.OC2026
Rank-Adaptive and Linearly Convergent Frank--Wolfe Method over Spectrahedron via Nonconvex Oracle
Houduo Qi, Haoning Wang, Liping Zhang
For Frank--Wolfe (FW) methods for convex optimization over the spectrahedron, it remains open whether a block-update variant can be linearly convergent when the update rank never e…
math.NA2026
On subspace-constrained preconditioning for randomized iterative methods
Yonghan Sun, Hou-Duo Qi, Deren Han +1
In this paper, we further investigate and refine the subspace-constrained preconditioning technique to enhance the theoretical and numerical convergence properties of randomized it…
cs.LG2026
Local Duality for Sparse Support Vector Machines
Penghe Zhang, Naihua Xiu, Houduo Qi
Due to the rise of cardinality minimization in optimization, sparse support vector machines (SSVMs) have attracted much attention lately and show certain empirical advantages over…