Author

Hao-Ning Wang

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Preprint Sep 2026

Rank-Adaptive and Linearly Convergent Frank--Wolfe Method over Spectrahedron via Nonconvex Oracle

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 exceeds the (unknown) optimal rank $r^*$ at each iteration. Existing block and spectral FW methods require an update rank at least $r^*$---an...

Hou-Duo Qi, Hao-Ning Wang, Li-Ping Zhang · 0 citations

#machine learning Nov 2025

Exchange Policy Optimization Algorithm for Semi-Infinite Safe Reinforcement Learning

This paper proposes exchange policy optimization (EPO), an algorithmic framework that achieves optimal policy performance with provably bounded safety guarantees and derives an upper bound on the required number of iterations and quantifies the gap between the obtained policy and the true optimum.

Jiaming Zhang, Yujie Yang, Hao-Ning Wang et al. · arXiv.org · 1 citation