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joellaity.com | ||
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www.raynergobran.com
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| | | | | To better understand covariance, I take a short trip down the rabbit hole to visit eigen vectors and return carrying a covariance ellipse! | |
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nhigham.com
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| | | | | A Householder matrix is an $latex n\times n$ orthogonal matrix of the form $latex \notag P = I - \displaystyle\frac{2}{v^Tv} vv^T, \qquad 0 \ne v \in\mathbb{R}^n. $ It is easily verified that $LATEX P$ is orthogonal ($LATEX P^TP = I$), symmetric ($LATEX P^T = P$), involutory ($LATEX P^2 = I$ that is, $LATEX P$ is... | |
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kvfrans.com
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| | | | | In my previous post about generative adversarial networks, I went over a simple method to training a network that could generate realistic-looking images. However, there were a couple of downsides to using a plain GAN. First, the images are generated off some arbitrary noise. If you wanted to generate a | |
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gilkalai.wordpress.com
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| | | Yael Tauman Kalai: Delegating Computation via No-Signaling Strategies. Ladies and Gentelmen, Here is, exclusively for our readers, Yael Tauman Kalai's ICM2018 paper: Delegating Computation via No-Signaling Strategies. The opportunity to present the paper arose when a week ago I attended a great lecture on game theory by Yair Tauman and met there Adam Kalai, Yael, | ||
