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### Metadata
- Authors: Pascal Mettes, Elise van der Pol, Cees G. M. Snoek
- Organization: University of Amsterdam
- Conference: NeurIPS 2019
- Paper: https://arxiv.org/pdf/1901.10514.pdf
- Code:…
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Dear Authors,
I found your paper interesting and had a question. For the distributional critic, why is the number of quantiles (51 as reported) not equal to the noise vector dimension (5 as report…
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(Just a vague idea about how this can be incorporated in a generic way.)
Kerby uses parameter classes in several model, mainly to handle various transformations.
mlefit uses parameter classes includi…
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It would be nice to have an option to use randomized quantile residuals (i.e. from `statmod::qresid()`) in `appraise()`. Maybe this could even be the default for poisson and binomial models? Accordi…
Aariq updated
8 months ago
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# 📚 Documentation/Examples
Thanks for this awesome library! I'm really enjoying learning it, but I did get a little confused while
reading the documentation and would like to suggest an improvemen…
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trying again for an overall design or design requirements for control chart
main original issue #4191 plus 2 PRs for earlier implementation
newer topics
- control charts based on beta distributio…
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I have a Tensorflow 2.x model which is using the TF preprocessing layer (tf.keras.layers.DenseFeatures) and the distributional layer from TF probability (DistributionLambda)
```python
def regres…
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Hi! I have several questions/requests regarding value learning https://github.com/deepmind/rlax/blob/master/rlax/_src/value_learning.py
1. If I want to use the `_quantile_regression_loss` without …
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Dear Enrico!
As requested, I will post my enhancement proposals here on github. Let's start with the generic example I gave. For example, I have 2 or more time points/groups and I want to predict s…
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This looks like a recent hot topic mainly for machine learning.
Basic idea: use calibration data, separate from estimation/training data, to estimate quantiles and prediction sets or intervals for …