Explore >> Select a destination
|
You are here 
|
destevez.net | ||
| | | | |
nelari.us
|
|
| | | | | In inverse transform sampling, the inverse cumulative distribution function is used to generate random numbers in a given distribution. But why does this work? And how can you use it to generate random numbers in a given distribution by drawing random numbers from any arbitrary distribution? | |
| | | | |
jaberkow.wordpress.com
|
|
| | | | | Lately I have been making use of a continuous relaxation of discrete random variables proposed in two recent papers: The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables and Categorical Reparameterization with Gumbel-Softmax. I decided to write a blog post with some motivation of the method, as well as providing some minor clarification on... | |
| | | | |
reasonabledeviations.com
|
|
| | | | | Academic blog about quantitative finance, programming, maths. | |
| | | | |
proceedings.neurips.cc
|
|
| | | |||
