3 papers
cs.LG2026
Bayesian Symbolic Regression with Entropic Reinforcement Learning
Oussama Boussif, Mohammed Mahfoud, Younesse Kaddar +6
Symbolic regression is the problem of finding an algebraic expression describing a stochastic dependence of a target variable on a set of inputs. Unlike forms of regression that fi…
stat.ME2026
Empirical Bayes Rebiasing
Wanyi Ling, Sida Li, Junming Guan +1
We study methods for simultaneous analysis of many noisy and biased estimates, each paired with an even noisier estimate of its own bias. The analyst's goal is to construct short c…
cs.LG2023
GFN-SR: Symbolic Regression with Generative Flow Networks
Sida Li, Ioana Marinescu, Sebastian Musslick
Symbolic regression (SR) is an area of interpretable machine learning that aims to identify mathematical expressions, often composed of simple functions, that best fit in a given s…