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* [Link](https://arxiv.org/pdf/1610.05683.pdf)
* Title: Reparameterization Gradients through Acceptance-Rejection
Sampling Algorithms
* Keywords (optional):
* Authors (optional):
* Reason …
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Thanks for your great work, I want to konw if the work could been used with unpaired dataset ,and if I use my own dataset, is there anything I need to change like load_data() in DDBM-main\ datassets \…
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As discussed with @siddharthteotia, consider adding some common statistical analysis methods SQL language.
Few examples:
1. Pearson's coefficient
2. Sampling (bernoulli/stratified)
5. Histogram…
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Until v3 when we can finally standardize fitted model objects across algorithms (this has been a problem for years, see eg #41), I think we should provide a function in rstan to convert the list retur…
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Is it possible to extend TimeSeries functionality for multi-rate time series and time series with no time array?
I do not need to store array of time values, if I have start timestamp and fixed sam…
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## Background
**What is your motivation?**
I'm writing a simulation and the truncated distributions is a great convenience for sampling
parameters.
**What type of application is this?** (E.g. …
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Many current tracing solutions provide a rate limiting sampler with a leaky bucket (reservoir). Such a sampler allows serving requests up to a fixed number per second (reservoir) and if that is passed…
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https://www.mdpi.com/1099-4300/20/5/318/htm
kntkb updated
2 years ago
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## Summary
There are several points in the process of training a LightGBM model where less than the full training data is used.
I think it would be valuable to add a section called "Sampling" or…
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I found a strange phenomenon. For the same model, the same training sample and test sample, other operations are identical. Theoretically, the values obtained by using the XAI method (like Saliency) t…