{"id":443022,"date":"2017-11-28T05:16:07","date_gmt":"2017-11-28T13:16:07","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=443022"},"modified":"2018-10-16T20:02:31","modified_gmt":"2018-10-17T03:02:31","slug":"disco-nets-dissimilarity-coefficient-networks-2","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/disco-nets-dissimilarity-coefficient-networks-2\/","title":{"rendered":"DISCO Nets: DISsimilarity COefficient Networks"},"content":{"rendered":"
We present a new type of probabilistic model which we call DISsimilarity COefficient Networks (DISCO Nets). DISCO Nets allow us to efficiently sample from a posterior distribution parametrised by a neural network. During training, DISCO Nets are learned by minimising the dissimilarity coefficient between the true distribution and the estimated distribution. This allows us to […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13556],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-443022","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_publishername":"Neural Information Processing Systems","msr_edition":"","msr_affiliation":"","msr_published_date":"2016-12-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"443025","msr_publicationurl":"http:\/\/arxiv.org\/abs\/1606.02556","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"bouchacourt2016disco","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/11\/bouchacourt2016disco.pdf","id":443025,"label_id":0},{"type":"file","title":"bouchacourt2016disco-suppmat","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/11\/bouchacourt2016disco-suppmat.pdf","id":443028,"label_id":0},{"type":"url","title":"http:\/\/arxiv.org\/abs\/1606.02556","viewUrl":false,"id":false,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":0,"url":"http:\/\/arxiv.org\/abs\/1606.02556"},{"id":443028,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/11\/bouchacourt2016disco-suppmat.pdf"},{"id":443025,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/11\/bouchacourt2016disco.pdf"}],"msr-author-ordering":[{"type":"text","value":"Diane Bouchacourt","user_id":0,"rest_url":false},{"type":"text","value":"M. 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