Author

Amir Ali Farzin

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#machine learning Jan 2026

Solving the Offline and Online Min-Max Problem of Non-smooth Submodular-Concave Functions: A Zeroth-Order Approach

In expectation sense, it is proved the convergence of the algorithm to an $\epsilon$-saddle point in the offline case and, in the expectation sense, in the online setting, the algorithm achieves O(\sqrt{N(1+\bar{P}_N)})$ online duality gap.

Amir Ali Farzin, Yuen-Man Pun, Philipp Braun et al. · arXiv.org · 2 citations