Author

Y. Bengio

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#machine learning May 2023

Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network

This paper proposes a method to approximate the joint posterior over not only the structure of a Bayesian Network, but also the parameters of its conditional probability distributions, using a single GFlowNet whose sampling policy follows a two-phase process.

T. Deleu, Mizu Nishikawa-Toomey, Jithendaraa Subramanian et al. · Neural Information Processin... · 65 citations · ⚡4

#machine learning Jan 2022

Trajectory Balance: Improved Credit Assignment in GFlowNets

It is proved that any global minimizer of the trajectory balance objective can define a policy that samples exactly from the target distribution, and empirically demonstrate the benefits of the trajectories balance objective for GFlowNet convergence, diversity of generated samples, and robustness to long action sequenc...

Esmeralda S. Whitammer, Moksh Jain, Emmanuel Bengio et al. · Neural Information Processin... · 302 citations · ⚡60

#artificial intelligence May 2023

Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets

This paper designs Markov decision processes (MDPs) for different combinatorial problems and proposes to train conditional GFlowNets to sample from the solution space and demonstrates that GFlowNet policies can efficiently find high-quality solutions.

Dinghuai Zhang, H. Dai, Esmeralda S. Whitammer et al. · Advances in Neural Informati... · 59 citations · ⚡8