Author

J. Hu

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#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

#machine learning Open access Oct 2022

GFlowNets and variational inference

This paper builds bridges between two families of probabilistic algorithms: (hierarchical) variational inference (VI), which is typically used to model distributions over continuous spaces, and generative flow networks (GFlowNets), which have been used for distributions over discrete structures such as graphs. We demon...

Esmeralda S. Whitammer, S. Lahlou, T. Deleu et al. · International Conference on... · 120 citations · ⚡9