{"id":816634,"date":"2022-01-29T05:17:24","date_gmt":"2022-01-29T13:17:24","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&p=816634"},"modified":"2022-02-25T01:08:39","modified_gmt":"2022-02-25T09:08:39","slug":"machine-learning-theory-3","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/machine-learning-theory-3\/","title":{"rendered":"Machine Learning Theory"},"content":{"rendered":"
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Machine Learning Theory<\/h1>\n\n\n\n

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Our work in machine learning theory ranges from modeling to mathematical analysis of algorithms to experimental probing. The diverse set of topics include clustering, optimization, unsupervised learning, algebraic methods, fairness, causality, and deep learning.<\/p>\n<\/div>\n\n\n","protected":false},"excerpt":{"rendered":"

Our work in machine learning theory ranges from modeling to mathematical analysis of algorithms to experimental probing. The diverse set of topics include clustering, optimization, unsupervised learning, algebraic methods, fairness, causality, and deep learning.<\/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":"","footnotes":""},"research-area":[13561,13556,13546],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-816634","msr-project","type-msr-project","status-publish","hentry","msr-research-area-algorithms","msr-research-area-artificial-intelligence","msr-research-area-computational-sciences-mathematics","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[650619,796439],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Amit Deshpande","user_id":30988,"people_section":"Section name 0","alias":"amitdesh"},{"type":"user_nicename","display_name":"Ankit Garg","user_id":36107,"people_section":"Section name 0","alias":"garga"},{"type":"user_nicename","display_name":"Navin Goyal","user_id":33063,"people_section":"Section name 0","alias":"navingo"},{"type":"user_nicename","display_name":"Neeraj Kayal","user_id":33076,"people_section":"Section name 0","alias":"neeraka"},{"type":"user_nicename","display_name":"Ravishankar Krishnaswamy","user_id":33330,"people_section":"Section name 0","alias":"rakri"},{"type":"user_nicename","display_name":"Amit Sharma","user_id":30997,"people_section":"Section name 0","alias":"amshar"}],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/816634"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":7,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/816634\/revisions"}],"predecessor-version":[{"id":822436,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/816634\/revisions\/822436"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=816634"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=816634"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=816634"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=816634"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=816634"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}