{"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/bayesian-nonlinear-support-vector-machines","title":"Bayesian Nonlinear Support Vector Machines for Big Data","arxiv_id":"1707.05532","date":"2017-07-18","proceeding":null,"authors":["Florian Wenzel","Theo Galy-Fajou","Matthaeus Deutsch","Marius Kloft"],"abstract":"We propose a fast inference method for Bayesian nonlinear support vector\nmachines that leverages stochastic variational inference and inducing points.\nOur experiments show that the proposed method is faster than competing Bayesian\napproaches and scales easily to millions of data points. It provides additional\nfeatures over frequentist competitors such as accurate predictive uncertainty\nestimates and automatic hyperparameter search.","url_abs":"http://arxiv.org/abs/1707.05532v1","url_pdf":"http://arxiv.org/pdf/1707.05532v1.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":"bayesian-nonlinear-support-vector-machines","repo_url":"https://github.com/theogf/BayesianSVM","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"bayesian-nonlinear-support-vector-machines","repo_url":"https://github.com/UnofficialJuliaMirror/AugmentedGaussianProcesses.jl-38eea1fd-7d7d-5162-9d08-f89d0f2e271e","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"bayesian-nonlinear-support-vector-machines","repo_url":"https://github.com/UnofficialJuliaMirrorSnapshots/AugmentedGaussianProcesses.jl-38eea1fd-7d7d-5162-9d08-f89d0f2e271e","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[{"task_slug":"variational-inference","task_name":"Variational Inference"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}