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342c472b95d00421be10e9512b532866-Paper.pdf
Neural Information Processing Systems
Moreoverkappr K, is squared FrkapproximationA, i.e., min Examining 3, left), it sharperpeakk, whereas resultsinthe1.
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GeneralizationofModel-AgnosticMeta-Learning Algorithms: RecurringandUnseenTasks
Neural Information Processing Systems
In this paper, we study the generalization properties of Model-Agnostic MetaLearning (MAML) algorithms for supervised learning problems.
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LocalizedAdaptiveRiskControl
Neural Information Processing Systems
The theoretical results highlight atrade-offbetween localization ofthe statistical risk and convergence speed to the long-term risk target.
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On the Exploration of Local Significant Differences For Two-Sample Test
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Several attempts have been made to explore local significant differences in the past years.
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