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when i run "python examples/mnist_cnn.py" according to "https://www.idiap.ch/~katharas/importance-sampling/examples/", but i have errors like below.
(cf, python examples/mnist_cnn.py --uniform, it i…
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## Description
Importance weighted moment matching (IWMM) is an implicitly adaptive importance sampling method that improves proposal distributions in importance sampling by performing affine trans…
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### Background
Plumed are usually used for enhance sampling (ES) in molecular dynamic to sample rare events and reactive problems. It is practical to use PLUMED in LAMMPS, CP2K and QE, and VASP have …
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It might be possible to include things like the FBM Hurst coefficient in the variational Bayes procedure. One caveat might be that the resulting density is not in a recognisable form so maybe somethin…
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In ImportanceTraining classes we unnecessarily load all the data in memory.
https://github.com/idiap/importance-sampling/blob/991230a86d6d3d3a1d8b1a84716ae0db92248e26/importance_sampling/training.p…
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But with multi class,it doesnt works
by e
class 1 = 2000 trained cases
class 2 = 10 trained cases
class 3 = 400 trained cases
class 4 = 160 trained cases (case: text blue house)
pipeli…
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## Rough ideas, need vetting.
- reference CTMC
- [Solving the Forecast Combination Puzzle](https://arxiv.org/pdf/2308.05263.pdf) via log-linear Hyvaarinen stacking (locking).
- Quality of sp…
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Lots of sampling algorithms return weighted samples. For instance, importance sampling and SMC both return weighted samples*¸ as do elliptical slice sampling and nested sampling algorithms. Currently,…
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This would simplify sampling from the posterior predictive after performing optimization. @stuhlmueller suggested that forward sampling should have an option analogous to the [`importance`](http://web…