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Research map / Probabilistic and scientific modeling / Variational and generative sampling

Universal Boosting Variational Inference

NeurIPS 2019 · Probabilistic and scientific modeling › Variational and generative sampling · approach: Variational inference theory and gradients · 18 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use Hellinger-distance boosting (UBVI) instead of KL-based boosting (BVI)boosting variational inference · Cauchy and banana distributionsforward KL divergenceHelped
use UBVI instead of BVI+ (ad-hoc stabilized KL boosting)boosting variational inference · Bayesian logistic regression with t2 prior (synthetic, chemical, phishing)energy distance to NUTS posteriorHelped
add entropy regularization / stabilization (BVI+) to KL boosting (ablation)BVI · Cauchy distributionforward KL divergenceMixed

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