Abstract:Min-max optimization problems (i.e., min-max games) have been attracting a great deal of attention because of their applicability to a wide range of machine learning problems. Although signi cant progress has been made recently, the literature to date has focused on games with independent strategy sets; little is known about solving games with dependent strategy sets, which can be characterized as minmax Stackelberg games. We introduce two rst-order methods that solve a large class of convex-concave min-max St… Show more
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