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Found 4 papers, 1 papers with code
Proper Scoring Rules for Survival Analysis
Survival analysis is the problem of estimating probability distributions for future event times, which can be seen as a problem in uncertainty quantification.
Simpler Calibration for Survival Analysis
Therefore, X-CAL has recently been proposed for the calibration, which is supposed to be used as a regularization term in the loss function of a neural network.
Sampler for Composition Ratio by Markov Chain Monte Carlo
The key points of our approach are (1) designing an appropriate target distribution by using a condition on the number of nonzero elements, and (2) changing values only between a certain pair of elements in each iteration.
Consistent Nonparametric Different-Feature Selection via the Sparsest $k$-Subgraph Problem
We show that the proposed method is computationally efficient and does not require any extra computation for model selection.
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