#posterior-sampling News & Analysis

2 articles tagged with #posterior-sampling. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Feb 277/105

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Calibrated Test-Time Guidance for Bayesian Inference

Researchers have identified flaws in existing test-time guidance methods for diffusion models that prevent proper Bayesian posterior sampling. They propose new estimators that enable calibrated inference, significantly outperforming previous methods on Bayesian tasks and matching state-of-the-art results in black hole image reconstruction.

AIBullisharXiv – CS AI · Apr 106/10

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In-Context Decision Making for Optimizing Complex AutoML Pipelines

Researchers propose PS-PFN, an advanced AutoML method that extends traditional algorithm selection and hyperparameter optimization to handle modern ML pipelines with fine-tuning and ensembling. Using posterior sampling and prior-data fitted networks for in-context learning, the approach outperforms existing bandit and AutoML strategies on benchmark tasks.