bayesian learning - Robuta Search

https://arxiv.org/abs/2204.13349v1

[2204.13349v1] Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor

Abstract page for arXiv paper 2204.13349v1: Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor

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https://openreview.net/forum?id=yhZLEvmyHYQ

Bayesian Active Learning with Fully Bayesian Gaussian Processes | OpenReview

Proposing two new acquisition functions for Gaussian Processes using information from the hyperparameters' joint posterior

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https://deepai.org/publication/learning-noisy-or-bayesian-networks-with-max-product-belief-propagation

Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation | DeepAI

01/31/23 - Noisy-OR Bayesian Networks (BNs) are a family of probabilistic graphical models which express rich statistical dependencies in bin...

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https://www.brookings.edu/articles/a-bayesian-learning-model-fitted-to-a-variety-of-empirical-learning-curves/

A Bayesian Learning Model Fitted to a Variety of Empirical Learning Curves | Brookings

WHERE DOES TECHNOLOGICAL progress come from and what determines its rate of advance? In answering these questions, it is useful to decompose technological...

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https://huggingface.co/papers/1703.03044

Paper page - A GAMP Based Low Complexity Sparse Bayesian Learning Algorithm

Join the discussion on this paper page

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https://www.fz-juelich.de/en/jsc/news/events/training-courses/2025/bayesian-sl-2

Introduction to Bayesian Statistical Learning 2 (training course, online)

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https://arxiv.org/abs/2601.22131

[2601.22131] SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization

Abstract page for arXiv paper 2601.22131: SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization

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https://pubmed.ncbi.nlm.nih.gov/41209713/

Correction: A guide to bayesian networks software for structure and parameter learning, with a...

[This corrects the article DOI: 10.3389/fsysb.2025.1631901.].

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https://openreview.net/forum?id=H4xxa2NuP-9&referrer=%5Bthe%20profile%20of%20Ant%C3%B3nio%20G%C3%B3is%5D(%2Fprofile%3Fid%3D~Ant%C3%B3nio_G%C3%B3is1)

Bayesian Structure Learning with Generative Flow Networks | OpenReview

We propose DAG-GFlowNet, a new Bayesian structure learning method based on a novel class of probabilistic models called GFlowNets, that treats sampling of...

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https://www.arxiv.org/abs/1202.1119

[1202.1119] Cramer Rao-Type Bounds for Sparse Bayesian Learning

Abstract page for arXiv paper 1202.1119: Cramer Rao-Type Bounds for Sparse Bayesian Learning

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https://openreview.net/forum?id=in9YbqhSMv&referrer=%5Bthe%20profile%20of%20Behrad%20Moniri%5D(%2Fprofile%3Fid%3D~Behrad_Moniri1)

Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning | OpenReview

In parametric Bayesian learning, a prior is assumed on the parameter $W$ which determines the distribution of samples. In this setting, Minimum Excess Risk...

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