Author

Esmeralda S. Whitammer

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Preprint Aug 2026

Bayesian Symbolic Regression with Entropic Reinforcement Learning

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 fit parameters assuming a fixed model structure, symbolic regression is a search problem over the space of expressions, represented, for examp...

Oussama Boussif, Mohammed Mahfoud, Younesse Kaddar et al. · 2 citations

Preprint Aug 2026

Path-dependent Discrete Amortized Inference

We consider the problem of sampling compositional and discrete objects from a given unnormalized posterior distribution. Notably, recent studies have shown that this problem can be efficiently solved by learning a deterministic Markov Decision Process (MDP) that progressively builds each object in proportion to the pos...

Tiago da Silva, Esmeralda S. Whitammer, S. Lahlou · 0 citations