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Aadaptive MCMC is interesting.

Bravo Davide!

Great lecture, amazed it doesn't have more views.

Thank you 🙏 that’s really informative. Can you give us the link to the paper discussed at 7:17

Are Dr. Paul Macklin's slides available for download?

Thank you Dr. Rosenthal, finally I could undestand Metropolis algorithm¡

There are millions of people from the Arab world who do not understand the channel's language We ask the owner of the channel to add the feature of translation into Arabic

The theory of superstringes and membranes

Dear prof. Akitoshi, I am very interest in monodromy. However, I don't understand how to figure out the connection matrix and the middle equation in page 16. Please help me if you have free time. Sincerely, Viona

0:46 beautiful-girls-here.online

Super useful for my term paper! Thank you!

Really useful summary/introduction into MCMC and Adaptive MCMC! Thanks for posting the video! :)

First!

1st view

Awesome channel! Keep up the great work. If you have a moment you could go visit my page 😎👍

The variance equation for linear combinatiions of random variables applies to dot products. Fast transforms (FFT,WHT) are fixed sets of dot products. ReLU is a switch. f(x)=x is connect, f(x)=0 is disconnect. A ReLU net is a switched system of dot products the collapses to a simple matrix for a particular input. You can have inside out nets with fixed dot products and adjustable parametric activation functions. Random projection first (eg. sign flips) and final transform as pseudo-readout layer.

Thank you very much. Where is Part II?

Great presentation

“Correction: The formula given for $\mathcal{H}^1(M)$ in example 1 at 15:53 should be $\mathbb{R}^N$ and not $\mathbb{R}^{N-1}$."