Cameron E. Freer

Orcid: 0000-0003-1791-6843

Affiliations:
  • MIT, Cambridge, MA, USA


According to our database1, Cameron E. Freer authored at least 29 papers between 2009 and 2024.

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Bibliography

2024
Probabilistic Programming Interfaces for Random Graphs: Markov Categories, Graphons, and Nominal Sets.
Proc. ACM Program. Lang., January, 2024

2022
Computable PAC Learning of Continuous Features.
Proceedings of the LICS '22: 37th Annual ACM/IEEE Symposium on Logic in Computer Science, Haifa, Israel, August 2, 2022

2021
On computable aspects of algebraic and definable closure.
J. Log. Comput., 2021

On computable learning of continuous features.
CoRR, 2021

2020
Optimal approximate sampling from discrete probability distributions.
Proc. ACM Program. Lang., 2020

An introduction to feedback Turing computability.
J. Log. Comput., 2020

Deep Involutive Generative Models for Neural MCMC.
CoRR, 2020

Computability of Algebraic and Definable Closure.
Proceedings of the Logical Foundations of Computer Science - International Symposium, 2020

The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Feedback computability on Cantor space.
Log. Methods Comput. Sci., 2019

On the Computability of Conditional Probability.
J. ACM, 2019

Algorithmic barriers to representing conditional independence.
Proceedings of the 34th Annual ACM/IEEE Symposium on Logic in Computer Science, 2019

A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
On the computability of graphons.
CoRR, 2018

The Beta-Bernoulli process and algebraic effects.
Proceedings of the 45th International Colloquium on Automata, Languages, and Programming, 2018

2017
On computability and disintegration.
Math. Struct. Comput. Sci., 2017

On the computability of graph Turing machines.
CoRR, 2017

A classification of orbits admitting a unique invariant measure.
Ann. Pure Appl. Log., 2017

Graph Turing Machines.
Proceedings of the Logic, Language, Information, and Computation, 2017

2016
Invariant measures via inverse limits of finite structures.
Eur. J. Comb., 2016

2015
Feedback Turing Computability, and Turing Computability as Feedback.
Proceedings of the 30th Annual ACM/IEEE Symposium on Logic in Computer Science, 2015

2014
Algorithmic Aspects of Lipschitz Functions.
Comput., 2014

Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence.
Proceedings of the Turing's Legacy: Developments from Turing's Ideas in Logic, 2014

2013
A Notion of a Computational Step for Partial Combinatory Algebras.
Proceedings of the Theory and Applications of Models of Computation, 2013

2012
Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence
CoRR, 2012

Computable de Finetti measures.
Ann. Pure Appl. Log., 2012

2011
Noncomputable Conditional Distributions.
Proceedings of the 26th Annual IEEE Symposium on Logic in Computer Science, 2011

2010
Posterior distributions are computable from predictive distributions.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

2009
Computable Exchangeable Sequences Have Computable de Finetti Measures.
Proceedings of the Mathematical Theory and Computational Practice, 2009


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