(opens in new tab)<\/span><\/a><\/p>\n![\"CI](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2022\/11\/cig_pic-1024x423.png\")
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Conditional Independence (CI) graphs are a type of probabilistic graphical models that are primarily used to gain insights about feature relationships. Each edge represents the partial correlation between the connected features which gives information about their direct dependence. In this survey, we list out different methods and study the advances in techniques developed to recover […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"Harsh Shrivastava","user_id":"41299"},{"type":"user_nicename","value":"Urszula Chajewska","user_id":"38853"}],"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"The Journal of Artificial Intelligence Research 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