{"id":352466,"date":"2017-01-13T14:58:06","date_gmt":"2017-01-13T22:58:06","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=352466"},"modified":"2018-10-16T20:16:59","modified_gmt":"2018-10-17T03:16:59","slug":"roadmap-research-ep","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/roadmap-research-ep\/","title":{"rendered":"A Roadmap to Research on EP"},"content":{"rendered":"
EP roadmapExpectation Propagation (EP) is a family of algorithms for approximate inference in Bayesian models. This page summarizes research conducted on EP (including variants such as ADATAP and EC).<\/p>\n","protected":false},"excerpt":{"rendered":"
EP roadmapExpectation Propagation (EP) is a family of algorithms for approximate inference in Bayesian models. 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