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An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives

NeurIPS 2021 · Optimization › Nonconvex and smooth optimization · approach: Coordinate and Adam convergence analysis · 9 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Optimize DRO with RECOVER instead of ERM with SGDResNet-20 · STL10, IMRATIO 0.02test accuracy (%): 37.97 (0.78) -> 38.08 (0.59)Helped
Optimize DRO with RECOVER instead of ERM with SGDResNet-20 · STL10, IMRATIO 0.05test accuracy (%): 41.12 (0.94) -> 42.68 (0.60)Helped
Optimize DRO with RECOVER instead of ERM with SGDResNet-20 · STL10, IMRATIO 0.1test accuracy (%): 46.03 (0.96) -> 48.94 (0.86)Helped
Optimize DRO with RECOVER instead of ERM with SGDResNet-20 · STL10, IMRATIO 0.2test accuracy (%): 51.75 (1.14) -> 56.06 (1.26)Helped
Optimize DRO with RECOVER instead of ERM with SGDResNet-20 · CIFAR10, IMRATIO 0.02test accuracy (%): 65.36(0.64) -> 66.14 (0.48)Helped
Optimize DRO with RECOVER instead of ERM with SGDResNet-20 · CIFAR10, IMRATIO 0.05test accuracy (%): 74.74 (0.71) -> 75.90 (0.33)Helped
Optimize DRO with RECOVER instead of ERM with SGDResNet-20 · CIFAR10, IMRATIO 0.1test accuracy (%): 79.32 (0.42) -> 80.93 (0.31)Helped
Optimize DRO with RECOVER instead of ERM with SGDResNet-20 · CIFAR10, IMRATIO 0.2test accuracy (%): 84.84 (0.51) -> 85.93 (0.14)Helped
Optimize DRO with RECOVER instead of ERM with SGDResNet-20 · CIFAR100, IMRATIO 0.02test accuracy (%): 38.99 (0.62) -> 39.45 (0.56)Helped
Optimize DRO with RECOVER instead of ERM with SGDResNet-20 · CIFAR100, IMRATIO 0.05test accuracy (%): 45.79 (0.69) -> 44.47 (0.66)Hurt
Optimize DRO with RECOVER instead of ERM with SGDResNet-20 · CIFAR100, IMRATIO 0.1test accuracy (%): 49.45 (0.5) -> 50.84 (0.86)Helped
Optimize DRO with RECOVER instead of ERM with SGDResNet-20 · CIFAR100, IMRATIO 0.2test accuracy (%): 55.80 (0.74) -> 56.90 (0.42)Helped

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