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TikhonovRegularizationisOptimalTransportRobust underMartingaleConstraints
Regularization is an important tool in machine learning which is used in, for instance, reducing overfitting[23].
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TikhonovRegularizationisOptimalTransportRobust underMartingaleConstraints
Regularization is an important tool in machine learning which is used in, for instance, reducing overfitting[23].
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Non-convexDistributionallyRobustOptimization: Non-asymptoticAnalysis
Distributionally robust optimization (DRO) is a widely-used approach to learn models that are robust against distribution shift.
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