Research map / Learning theory and algorithms / Sample complexity
An equivalence between high dimensional Bayes optimal inference and M-estimation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| replace MAP loss and regularizer with Gaussian- and Moreau-smoothed optimal loss and regularizer | M-estimation with logistic output and Laplacian signal · Simulated high-dimensional inference | normalized per-component MSE | Helped |
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