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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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## 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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Hi there! First off, thank you so much for making this software available to the public. I am getting an error when running the tutorial data. I've tried it on a server and local system so I'm not sur…
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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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I noticed while browsing the RL examples that the PPO implementation is actually A2C (which there's already an example for). On line 141, this line:
```Rust
let action_loss = (-advantages.detach()…
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The following Ultra Plus debug toggles improve lighting and shadows in the PT Next mode, but are disabled by default:
Local-Light Importance Sampling (LLIS)
Fallback Lighting
Enable Shadow Cascad…
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I have a model that I compile with
```
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=[matthews_correlation])
```
and it fails after the first epoch
```
17/18 [==========…
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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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Importance-Sampling(IS) Weights
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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…