ASingle-Loop Smoothed Gradient Descent-Ascent Algorithmfor Nonconvex-Concave Min-Max Problems

Feb-8-2026, 10:55:40 GMT–Neural Information Processing Systems

Inotherfi( ) with y i > 0 at (x ,y ) contains thesolution.I+(y )torepresenty i > 0. amildassumption Assumption Forany(x ,y )satisfying(3.5), In t f forant (see thedecrease t.

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Neural Information Processing Systems

Feb-8-2026, 10:55:40 GMT

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A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems

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