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You are here		kevinkle.in A Cheat Sheet for Information Theory Fundamentals in ML - Blog
\|	\|	jaberkow.wordpress.com Some Observations on Relaxed Bernoulli Variables. - Mean Fields and Friendly Skies	3.3 parsecs away Travel
\|	\|	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...	3.3 parsecs away Travel
\|	\|	danieltakeshi.github.io The Expectation of the Minimum of IID Uniform Random Variables	5.1 parsecs away Travel
\|	\|	In my STAT 210A class, we frequently have to deal with the minimum of asequence of independent, identically distributed (IID) random variables. Thishappens b...	5.1 parsecs away Travel
\|	\|	gregorygundersen.com Expectation of the Truncated Lognormal Distribution	4.4 parsecs away Travel
\|	\|	[AI summary] The blog post derives the expected value of a left-truncated lognormal distribution, explaining the mathematical derivation and validating it with Monte Carlo simulations.	4.4 parsecs away Travel
\|	\|	seeing-theory.brown.edu Seeing Theory - Frequentist Inference	10.4 parsecs away Travel
\|		Frequentist inference is the process of determining properties of an underlying distribution via the observation of data.	10.4 parsecs away Travel