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A workshop to bring together researchers who use score-based methods in machine learning and statistics.
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SBM @ NeurIPS
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2026-02-25 08:01:35
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SBM @ NeurIPS SBM @ NeurIPS Toggle navigation home (current) schedule accepted papers call for papers NeurIPS 2022 Workshop on Score-Based Methods A workshop to bring together researchers who use score-based methods in machine learning and statistics. [click here for registration] [click here to submit your questions to our panelists] introduction The score function , which is the gradient of the log-density, provides a unique way to represent probability distributions. By working with distributions through score functions, researchers have been able to develop efficient tools for machine learning and statistics, collectively known as score-based methods . Score-based methods have had a significant impact on vastly disjointed subfields of machine learning and statistics, such as generative modeling, Bayesian inference, hypothesis testing, control variates and Stein’s methods. For example, score-based generative models, or denoising diffusion models, have e...
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