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The idiosyncrasies of tabular data
The things that make tabular data different
Aug 16, 2025
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Calvin McCarter
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July 2025
Masked language modeling is pluriform
Or, why MLMs are not "CLMs, but bidirectional"
Jul 4, 2025
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Calvin McCarter
1
July 2024
Unmasking Trees for Tabular Data
When tabular imputation is the vibe, unmasking is low-key goated
Jul 6, 2024
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Calvin McCarter
2
May 2024
On AI, biology, and China's prospects for leading the next techno-scientific revolution
Tanner Greer at Scholar’s Stage has written an informative report describing the Chinese government’s ambition to lead the next techno-scientific…
May 19, 2024
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Calvin McCarter
2
What exactly has TabPFN learned to do?
TabPFN [Hollmann et al., 2023], a Transformer model pretrained to perform in-context learning on fresh tabular classification problems, was presented at…
May 12, 2024
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Calvin McCarter
2
April 2024
The New Morality, by Paul Elmer More
I make frequent reference to this text in conversations with right-leaning friends.
Apr 1, 2024
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Calvin McCarter
2
March 2024
Links on the earliness of the Great Divergence
In the popular mind, the Great Divergence (or European growth miracle) is associated with Gutenberg’s 1440 invention of the printing press, Columbus’s…
Mar 16, 2024
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Calvin McCarter
"No babysitting": Stephen Boyd on the true benefit of convex optimization
In a recent episode of the excellent InControl podcast, Alberto Padoan asked Stephen Boyd about the value of convex optimization.
Mar 16, 2024
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Calvin McCarter
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1
December 2023
Stephen Boyd on the use of theory, in practice
Stephen Boyd, of convex optimization fame, was interviewed by Alberto Padoan in a recent episode of the InControl podcast. What follows is a short…
Dec 9, 2023
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Calvin McCarter
July 2023
Mapping between two Gaussians using optimal transport and the KL-divergence
Suppose you have two multivariate Gaussian distributions \( S\) and \(T\), parameterized as \( N(\mu_S, \Sigma_S)\) and \( N(\mu_T, \Sigma_T)\).
Jul 16, 2023
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Calvin McCarter
1
Computing the product of Gaussian distributions
Suppose you have \(K\) multivariate Gaussian distributions, each of dimensionality \(N\).
Jul 16, 2023
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Calvin McCarter
2
A visual exploration of the softmax function
The softmax function \(\sigma(\mathbf{z})\) maps vectors to the probability simplex, making it a useful and ubiquitous function in machine learning.
Jul 16, 2023
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Calvin McCarter
1
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