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FERERO: AFlexibleFrameworkfor Preference-GuidedMulti-ObjectiveLearning
Neural Information Processing Systems
To solve this problem, convergent algorithms are developed with both single-loop and stochastic variants. Notably, this is the firstsingle-loop primalalgorithmforconstrained optimization toourknowledge.
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73fed7fd472e502d8908794430511f4d-Supplemental.pdf
Neural Information Processing Systems
Our results motivate a natural partial order over covariate shifts that provides a sufficient condition for determining when the shift will harm (or even help) test performance.
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