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Variational Inference

2024

On Divergence Measures for Training GFlowNets

·274 words
Tiago Da Silva Eliezer De Souza Da Silva Diego Mesquita Publication Conference NeurIPS Deep Generative Models Statistical Divergences Variational Inference Generative Flow Networks

Novel approach to training Generative Flow Networks (GFlowNets) by minimizing divergence measures such as Renyi-$\alpha$, Tsallis-$\alpha$, and Kullback-Leibler (KL) divergences. Stochastic gradient estimators using variance reduction techniques leads to faster and stabler training.

2017

Content-Based Social Recommendation with Poisson Matrix Factorization

·267 words
Eliezer De Souza Da Silva Helge Langseth Heri Ramampiaro Publication Conference ECML Bayesian Matrix Factorization Recommender Systems Variational Inference

A latent variable probabilistic model for recommender systems that combines social trust, item content, and user preferences into a unified Poisson matrix factorization framework. This model jointly factorizes the user–item interaction matrix and item–content matrix, accounting for social relationships and content information to enhance recommendation accuracy.