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Making Sense of the Boomer Theory
Classical statistical learning theory rebuilt from high-dimensional probability — concentration, chaining, symmetrization, and VC combinatorics.
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The Kolmogorov Series Theorems
The three Kolmogorov series theorems for almost-sure convergence of sums of independent random variables, the Strong Law of Large Numbers, and the 0-1 Law.
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Sheaf Neural Networks
I describe Sheaf Neural Networks in this blog, which are a type of Graph Neural Networks.
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Electrical Networks and Random Walks
Today I will mainly talk about how to connect the notion of electrical networks and random walks. It gives a new perspective on an important and a very interesting subject in Probability and Statistics. I also solve an olympiad problem with it.
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Welcome to my universe
A quick introduction to my new blog.