{"id":792047,"date":"2021-11-16T08:00:59","date_gmt":"2021-11-16T16:00:59","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=792047"},"modified":"2021-11-12T14:30:16","modified_gmt":"2021-11-12T22:30:16","slug":"research-talk-causal-ml-and-business","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/research-talk-causal-ml-and-business\/","title":{"rendered":"Research talk: Causal ML and business"},"content":{"rendered":"

Using machine learning for causal inference can, in a subset of cases with rich data, replicate results from A\/B experimentation. For other cases, like identifying the \u201caverage treatment effect for compliers\u201d ML offers more limited scope. There is room to progress methodologically on this front. In the best-case scenario, where we get the tools to estimate average treatment effects for compliers, there is a\u00a0 straightforward path to get a scalable inference service off the ground, similar to experimental platforms. In this session, Microsoft economics researcher Jacob LaRiviere will discuss some experiences with causal ML in business scenarios.<\/p>\n

Learn more about the 2021 Microsoft Research Summit: https:\/\/Aka.ms\/researchsummit (opens in new tab)<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Using machine learning for causal inference can, in a subset of cases with rich data, replicate results from A\/B experimentation. For other cases, like identifying the \u201caverage treatment effect for compliers\u201d ML offers more limited scope. There is room to progress methodologically on this front. In the best-case scenario, where we get the tools to […]<\/p>\n","protected":false},"featured_media":792050,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556,13548],"msr-video-type":[261317,261263],"msr-locale":[268875],"msr-post-option":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-792047","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-economics","msr-video-type-causal-machine-learning","msr-video-type-research-summit-2021","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/6cHUh-uK9yw","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/792047"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/792047\/revisions"}],"predecessor-version":[{"id":795701,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/792047\/revisions\/795701"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/792050"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=792047"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=792047"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=792047"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=792047"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=792047"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=792047"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=792047"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}