{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/elliptical-slice-sampling","title":"Elliptical slice sampling","arxiv_id":"1001.0175","date":"2009-12-31","proceeding":null,"authors":["Iain Murray","Ryan Prescott Adams","David J. C. MacKay"],"abstract":"Many probabilistic models introduce strong dependencies between variables\nusing a latent multivariate Gaussian distribution or a Gaussian process. We\npresent a new Markov chain Monte Carlo algorithm for performing inference in\nmodels with multivariate Gaussian priors. Its key properties are: 1) it has\nsimple, generic code applicable to many models, 2) it has no free parameters,\n3) it works well for a variety of Gaussian process based models. These\nproperties make our method ideal for use while model building, removing the\nneed to spend time deriving and tuning updates for more complex algorithms.","url_abs":"http://arxiv.org/abs/1001.0175v2","url_pdf":"http://arxiv.org/pdf/1001.0175v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"elliptical-slice-sampling","repo_url":"https://github.com/coxxxxx/poisson_process_inference","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[],"methods":[{"method_slug":"gaussian-process","method_name":"Gaussian Process"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1001.0175","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}