Author

Younesse Kaddar

2 papers indexed here

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Preprint Aug 2026

Bayesian Symbolic Regression with Entropic Reinforcement Learning

ERRLESS (Entropy-Regularized Reinforcement Learning for Expression Structure Sampling), a scalable approach for sampling from the posterior distribution over expressions given data using maximum-entropy reinforcement learning, is proposed and achieves competitive results on the Feynman benchmark.

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

#machine learning Oct 2023

Amortizing intractable inference in large language models

This work interprets chain-of-thought reasoning as a latent variable modeling problem and demonstrates that this distribution-matching paradigm of LLM fine-tuning can serve as an effective alternative to maximum-likelihood training and reward-maximizing policy optimization.

Edward J. Hu, Moksh Jain, Eric Elmoznino et al. · International Conference on... · 110 citations · ⚡19