Hidden variables and latent factors
This isn’t a thing per se.
But I want a landing page for a few differnt ways to think about hidden variables.
If the hidden varaibles are random, I might think of hierarchical models, latent factors, deep networks, informative sampling, censored data…
If the hidden variables are determninistic I might think of algorithmic complexity.
Matrix factorisation to approximate latent factors and their interaction in recommender systems.
- Koren, Y., Bell, R., & Volinsky, C. (2009) Matrix Factorization Techniques for Recommender Systems. Computer, 42(8), 30–37. DOI.
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