Negative momentum enables global convergence in convex-concave min-max optimization and accelerated rates in the strongly-convex-strongly-concave setting.
Operator splitting per- formance estimation: Tight contraction factors and optimal parameter selection.SIAM Journal on Optimization, 30(3):2251–2271
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Negative Momentum for Convex-Concave Optimization
Negative momentum enables global convergence in convex-concave min-max optimization and accelerated rates in the strongly-convex-strongly-concave setting.