Uros Seljak
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| title | conference | date |
|---|---|---|
| Hessian Matrix Inversion in 10^10 Dimensions with Parametric Bootstraps | Randomized Numerical Linear Algebra and Applications 2018 | 2018-09-24 |
Claims a practical way to get marginalized Hessian rows for hyperparameters when latent fields reach 10^10 dimensions, using a generative model and MAP… | ||
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