Soft-BCT extends Bayesian context trees to real-valued time series with soft probabilistic splits learned via variational inference and shows better performance than prior hard-split BCT on some datasets.
The posterior distribution of Bayesian context-tree models: Theory and applications
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A quadtree-partitioned mixture autoregressive generative model reduces MAP image denoising to variational lower bound maximization, optimized by alternating variational Bayes and exact gradient updates.
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Soft Bayesian Context Tree Models for Real-Valued Time Series
Soft-BCT extends Bayesian context trees to real-valued time series with soft probabilistic splits learned via variational inference and shows better performance than prior hard-split BCT on some datasets.
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A Mixture Autoregressive Image Generative Model on Quadtree Regions for Gaussian Noise Removal via Variational Bayes and Gradient Methods
A quadtree-partitioned mixture autoregressive generative model reduces MAP image denoising to variational lower bound maximization, optimized by alternating variational Bayes and exact gradient updates.