28 citations · 28 across the 9 of their papers we have counts for
4 papers · 1 filter
Floating-Point Neural Networks Are Provably Robust Universal Approximators
Geonho Hwang, Wonyeol Lee, Yeachan Park +2
The classical universal approximation (UA) theorem for neural networks establishes mild conditions under which a feedforward neural network can approximate a continuous function $f…
Random Variate Generation with Formal Guarantees
Feras A. Saad, Wonyeol Lee
This article introduces a new approach to principled and practical random variate generation with formal guarantees. The key idea is to first specify the desired probability distri…
Efficient Online Random Sampling via Randomness Recycling
Thomas L. Draper, Feras A. Saad
This article studies the fundamental problem of using i.i.d. coin tosses from an entropy source to efficiently generate random variables , where $(P_1, P_…
Efficient Rejection Sampling in the Entropy-Optimal Range
Thomas L. Draper, Feras A. Saad
We study the problem of generating a random variate from a finite discrete probability distribution using an entropy source of independent fair coin flips. A classic result…