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Interval-based Prediction Uncertainty Bound Computation in Learning with Missing Values
A drawback of this naive approach is that the uncertainty in the missing entries is not properly incorporated in the prediction.
Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization
The key property of SAG method is that, given an arbitrary approximate solution, it can provide a non-probabilistic assumption-free bound on the approximation quality under cryptographically secure computation framework.
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