Author

Meir Feder

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Preprint Aug 2026

A Layered Simplex Architecture for Large Alphabets

Probability estimation over large alphabets under log loss is a well-studied problem, with celebrated methods such as the Good-Turing estimator. We introduce and study a new Bayesian estimator with four notable properties. First, its construction is exceptionally simple: multiply independent uniform draws from the prob...

Meir Feder, Yaniv Fogel, Rüdiger L. Urbanke · 0 citations

#machine learning Preprint Sep 2026

Fisher Simplicity in Kolmogorov-Arnold Networks and Multilayer Perceptrons

Kolmogorov-Arnold Networks (KANs) are motivated in part by interpretability: their learned edge functions can be inspected, pruned, and reduced to symbolic structure. In a fixed-basis KAN, this makes a small or zero basis coefficient look like a certificate of simplicity, much as a dead rectified linear unit (ReLU) mar...

A. Tavory, Meir Feder · 0 citations