activity
20092026
most citedOn the computability of conditional probability

32 citations · 125 across the 17 of their papers we have counts for

collaborators

17 papers

cs.AI2026

Human agency in initial human-AI proof formalization workflows

Katherine M. Collins, Simon Frieder, Jonas Bayer +14

For centuries, human mathematicians have written proofs to substantiate their mathematical arguments; yet, the ability to automatically verify the validity of proofs has long been…

cs.PL2024★ 6 cited

GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables

Mathieu Huot, Matin Ghavami, Alexander K. Lew +6

This article presents GenSQL, a probabilistic programming system for querying probabilistic generative models of database tables. By augmenting SQL with only a few key primitives f…

cs.PL2023★ 3 cited

Probabilistic programming interfaces for random graphs: Markov categories, graphons, and nominal sets

Nathanael L. Ackerman, Cameron E. Freer, Younesse Kaddar +5

We study semantic models of probabilistic programming languages over graphs, and establish a connection to graphons from graph theory and combinatorics. We show that every well-beh…

math.LO2021

On computable aspects of algebraic and definable closure

Nathanael Ackerman, Cameron Freer, Rehana Patel

We investigate the computability of algebraic closure and definable closure with respect to a collection of formulas. We show that for a computable collection of formulas of quanti…

stat.CO2020

The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions

Feras A. Saad, Cameron E. Freer, Martin C. Rinard +1

This paper introduces a new algorithm for the fundamental problem of generating a random integer from a discrete probability distribution using a source of independent and unbiased…

cs.DS2020★ 3 cited

Optimal Approximate Sampling from Discrete Probability Distributions

Feras A. Saad, Cameron E. Freer, Martin C. Rinard +1

This paper addresses a fundamental problem in random variate generation: given access to a random source that emits a stream of independent fair bits, what is the most accurate and…