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cs.LG2025
Variational Autoencoder for Generating Broader-Spectrum prior Proposals in Markov chain Monte Carlo Methods
Marcio Borges, Felipe Pereira, Michel Tosin
This study uses a Variational Autoencoder method to enhance the efficiency and applicability of Markov Chain Monte Carlo (McMC) methods by generating broader-spectrum prior proposa…
stat.ME2025
A Framework to Analyze Multiscale Sampling MCMC Methods
Lucas Seiffert, Felipe Pereira
We consider the theoretical analysis of Multiscale Sampling Methods, which are a new class of gradient-free Markov chain Monte Carlo (MCMC) methods for high dimensional inverse dif…