statistical query
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Locally Private Learning without Interaction Requires Separation
Neural Information Processing Systems http://nips.cc/
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The Limits of Post-Selection Generalization
Jonathan Ullman, Adam Smith, Kobbi Nissim, Uri Stemmer, Thomas Steinke
A recent line of work initiated by Dworket al. [9] posed the question: Can we designgeneralpurpose algorithms for ensuring generalization in the presence of post-selection?
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.96)
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97b983c974551153d20ddfabb62a5203-Paper-Conference.pdf
For a range of activation functions, including ReLUs, we establish superpolynomial Statistical Query (SQ) lower bounds for this learning problem.
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Learning versus Refutation in Noninteractive Local Differential Privacy
The definition of agnostic learning above is classical.
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