Priors for symbolic regression

Author:

Bartlett Deaglan1ORCID,Desmond Harry2ORCID,Ferreira Pedro3ORCID

Affiliation:

1. Institut d'Astrophysique de Paris, Paris, France

2. Institute of Cosmology & Gravitation, Portsmouth, United Kingdom

3. University of Oxford, Oxford, United Kingdom

Funder

Simons Foundation

Royal Society

European Research Council

STFC

Beecroft Trust

Publisher

ACM

Reference68 articles.

1. The Intrinsic Bayes Factor for Model Selection and Prediction

2. Reference Posterior Distributions for Bayesian Inference

3. Luca Biggio , Tommaso Bendinelli , Alexander Neitz , Aurelien Lucchi , and Giambattista Parascandolo . 2021 . Neural Symbolic Regression that scales . In Proceedings of the 38th International Conference on Machine Learning (Proceedings of Machine Learning Research , Vol. 139), Marina Meila and Tong Zhang (Eds.). PMLR, 936-- 945 . https://proceedings.mlr.press/v139/biggio21a.html Luca Biggio, Tommaso Bendinelli, Alexander Neitz, Aurelien Lucchi, and Giambattista Parascandolo. 2021. Neural Symbolic Regression that scales. In Proceedings of the 38th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 139), Marina Meila and Tong Zhang (Eds.). PMLR, 936--945. https://proceedings.mlr.press/v139/biggio21a.html

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1. Comparing Methods for Estimating Marginal Likelihood in Symbolic Regression;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14

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