{"id":667467,"date":"2020-06-16T11:09:30","date_gmt":"2020-06-16T18:09:30","guid":{"rendered":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/?post_type=msr-research-item&#038;p=667467"},"modified":"2020-06-16T11:09:30","modified_gmt":"2020-06-16T18:09:30","slug":"an-improved-cutting-plane-method-for-convex-optimization-convex-concave-games-and-its-applications","status":"publish","type":"msr-research-item","link":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/publication\/an-improved-cutting-plane-method-for-convex-optimization-convex-concave-games-and-its-applications\/","title":{"rendered":"An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games and its Applications"},"content":{"rendered":"<p>Given a separation oracle for a convex set\u00a0<span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-1\" class=\"math\"><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mi\">K<\/span><span id=\"MathJax-Span-4\" class=\"mo\">\u2282<\/span><span id=\"MathJax-Span-5\" class=\"msubsup\"><span id=\"MathJax-Span-6\" class=\"texatom\"><span id=\"MathJax-Span-7\" class=\"mrow\"><span id=\"MathJax-Span-8\" class=\"mi\">R<\/span><\/span><\/span><span id=\"MathJax-Span-9\" class=\"mi\">n<\/span><\/span><\/span><\/span><\/span>\u00a0that is contained in a box of radius\u00a0<span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-10\" class=\"math\"><span id=\"MathJax-Span-11\" class=\"mrow\"><span id=\"MathJax-Span-12\" class=\"mi\">R<\/span><\/span><\/span><\/span>, the goal is to either compute a point in\u00a0<span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-13\" class=\"math\"><span id=\"MathJax-Span-14\" class=\"mrow\"><span id=\"MathJax-Span-15\" class=\"mi\">K<\/span><\/span><\/span><\/span>\u00a0or prove that\u00a0<span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-16\" class=\"math\"><span id=\"MathJax-Span-17\" class=\"mrow\"><span id=\"MathJax-Span-18\" class=\"mi\">K<\/span><\/span><\/span><\/span>\u00a0does not contain a ball of radius\u00a0<span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-19\" class=\"math\"><span id=\"MathJax-Span-20\" class=\"mrow\"><span id=\"MathJax-Span-21\" class=\"mi\">\u03f5<\/span><\/span><\/span><\/span>. We propose a new cutting plane algorithm that uses an optimal\u00a0<span id=\"MathJax-Element-6-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-22\" class=\"math\"><span id=\"MathJax-Span-23\" class=\"mrow\"><span id=\"MathJax-Span-24\" class=\"mi\">O<\/span><span id=\"MathJax-Span-25\" class=\"mo\">(<\/span><span id=\"MathJax-Span-26\" class=\"mi\">n<\/span><span id=\"MathJax-Span-27\" class=\"mi\">log<\/span><span id=\"MathJax-Span-28\" class=\"mo\"><\/span><span id=\"MathJax-Span-29\" class=\"mo\">(<\/span><span id=\"MathJax-Span-30\" class=\"mi\">\u03ba<\/span><span id=\"MathJax-Span-31\" class=\"mo\">)<\/span><span id=\"MathJax-Span-32\" class=\"mo\">)<\/span><\/span><\/span><\/span>\u00a0evaluations of the oracle and an additional\u00a0<span id=\"MathJax-Element-7-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-33\" class=\"math\"><span id=\"MathJax-Span-34\" class=\"mrow\"><span id=\"MathJax-Span-35\" class=\"mi\">O<\/span><span id=\"MathJax-Span-36\" class=\"mo\">(<\/span><span id=\"MathJax-Span-37\" class=\"msubsup\"><span id=\"MathJax-Span-38\" class=\"mi\">n<\/span><span id=\"MathJax-Span-39\" class=\"mn\">2<\/span><\/span><span id=\"MathJax-Span-40\" class=\"mo\">)<\/span><\/span><\/span><\/span>\u00a0time per evaluation, where\u00a0<span id=\"MathJax-Element-8-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-41\" class=\"math\"><span id=\"MathJax-Span-42\" class=\"mrow\"><span id=\"MathJax-Span-43\" class=\"mi\">\u03ba<\/span><span id=\"MathJax-Span-44\" class=\"mo\">=<\/span><span id=\"MathJax-Span-45\" class=\"mi\">n<\/span><span id=\"MathJax-Span-46\" class=\"mi\">R<\/span><span id=\"MathJax-Span-47\" class=\"texatom\"><span id=\"MathJax-Span-48\" class=\"mrow\"><span id=\"MathJax-Span-49\" class=\"mo\">\/<\/span><\/span><\/span><span id=\"MathJax-Span-50\" class=\"mi\">\u03f5<\/span><\/span><\/span><\/span>.<\/p>\n<ul>\n<li>This improves upon Vaidya&#8217;s\u00a0<span id=\"MathJax-Element-10-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-54\" class=\"math\"><span id=\"MathJax-Span-55\" class=\"mrow\"><span id=\"MathJax-Span-56\" class=\"mi\">O<\/span><span id=\"MathJax-Span-57\" class=\"mo\">(<\/span><span id=\"MathJax-Span-58\" class=\"mtext\">SO<\/span><span id=\"MathJax-Span-59\" class=\"mo\">\u22c5<\/span><span id=\"MathJax-Span-60\" class=\"mi\">n<\/span><span id=\"MathJax-Span-61\" class=\"mi\">log<\/span><span id=\"MathJax-Span-62\" class=\"mo\"><\/span><span id=\"MathJax-Span-63\" class=\"mo\">(<\/span><span id=\"MathJax-Span-64\" class=\"mi\">\u03ba<\/span><span id=\"MathJax-Span-65\" class=\"mo\">)<\/span><span id=\"MathJax-Span-66\" class=\"mo\">+<\/span><span id=\"MathJax-Span-67\" class=\"msubsup\"><span id=\"MathJax-Span-68\" class=\"mi\">n<\/span><span id=\"MathJax-Span-69\" class=\"texatom\"><span id=\"MathJax-Span-70\" class=\"mrow\"><span id=\"MathJax-Span-71\" class=\"mi\">\u03c9<\/span><span id=\"MathJax-Span-72\" class=\"mo\">+<\/span><span id=\"MathJax-Span-73\" class=\"mn\">1<\/span><\/span><\/span><\/span><span id=\"MathJax-Span-74\" class=\"mi\">log<\/span><span id=\"MathJax-Span-75\" class=\"mo\"><\/span><span id=\"MathJax-Span-76\" class=\"mo\">(<\/span><span id=\"MathJax-Span-77\" class=\"mi\">\u03ba<\/span><span id=\"MathJax-Span-78\" class=\"mo\">)<\/span><span id=\"MathJax-Span-79\" class=\"mo\">)<\/span><\/span><\/span><\/span>\u00a0time algorithm [Vaidya, FOCS 1989a] in terms of polynomial dependence on\u00a0<span id=\"MathJax-Element-11-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-80\" class=\"math\"><span id=\"MathJax-Span-81\" class=\"mrow\"><span id=\"MathJax-Span-82\" class=\"mi\">n<\/span><\/span><\/span><\/span>, where\u00a0<span id=\"MathJax-Element-12-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-83\" class=\"math\"><span id=\"MathJax-Span-84\" class=\"mrow\"><span id=\"MathJax-Span-85\" class=\"mi\">\u03c9<\/span><span id=\"MathJax-Span-86\" class=\"mo\"><<\/span><span id=\"MathJax-Span-87\" class=\"mn\">2.373<\/span><\/span><\/span><\/span>\u00a0is the exponent of matrix multiplication and\u00a0<span id=\"MathJax-Element-13-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-88\" class=\"math\"><span id=\"MathJax-Span-89\" class=\"mrow\"><span id=\"MathJax-Span-90\" class=\"mtext\">SO<\/span><\/span><\/span><\/span> is the time for oracle evaluation.<\/li>\n<li>This improves upon Lee-Sidford-Wong&#8217;s\u00a0<span id=\"MathJax-Element-15-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-94\" class=\"math\"><span id=\"MathJax-Span-95\" class=\"mrow\"><span id=\"MathJax-Span-96\" class=\"mi\">O<\/span><span id=\"MathJax-Span-97\" class=\"mo\">(<\/span><span id=\"MathJax-Span-98\" class=\"mtext\">SO<\/span><span id=\"MathJax-Span-99\" class=\"mo\">\u22c5<\/span><span id=\"MathJax-Span-100\" class=\"mi\">n<\/span><span id=\"MathJax-Span-101\" class=\"mi\">log<\/span><span id=\"MathJax-Span-102\" class=\"mo\"><\/span><span id=\"MathJax-Span-103\" class=\"mo\">(<\/span><span id=\"MathJax-Span-104\" class=\"mi\">\u03ba<\/span><span id=\"MathJax-Span-105\" class=\"mo\">)<\/span><span id=\"MathJax-Span-106\" class=\"mo\">+<\/span><span id=\"MathJax-Span-107\" class=\"msubsup\"><span id=\"MathJax-Span-108\" class=\"mi\">n<\/span><span id=\"MathJax-Span-109\" class=\"mn\">3<\/span><\/span><span id=\"MathJax-Span-110\" class=\"msubsup\"><span id=\"MathJax-Span-111\" class=\"mi\">log<\/span><span id=\"MathJax-Span-112\" class=\"texatom\"><span id=\"MathJax-Span-113\" class=\"mrow\"><span id=\"MathJax-Span-114\" class=\"mi\">O<\/span><span id=\"MathJax-Span-115\" class=\"mo\">(<\/span><span id=\"MathJax-Span-116\" class=\"mn\">1<\/span><span id=\"MathJax-Span-117\" class=\"mo\">)<\/span><\/span><\/span><\/span><span id=\"MathJax-Span-118\" class=\"mo\"><\/span><span id=\"MathJax-Span-119\" class=\"mo\">(<\/span><span id=\"MathJax-Span-120\" class=\"mi\">\u03ba<\/span><span id=\"MathJax-Span-121\" class=\"mo\">)<\/span><span id=\"MathJax-Span-122\" class=\"mo\">)<\/span><\/span><\/span><\/span>\u00a0time algorithm [Lee, Sidford and Wong, FOCS 2015] in terms of dependence on\u00a0<span id=\"MathJax-Element-16-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-123\" class=\"math\"><span id=\"MathJax-Span-124\" class=\"mrow\"><span id=\"MathJax-Span-125\" class=\"mi\">\u03ba<\/span><\/span><\/span><\/span>.<\/li>\n<\/ul>\n<p>For many important applications in economics,\u00a0<span id=\"MathJax-Element-17-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-126\" class=\"math\"><span id=\"MathJax-Span-127\" class=\"mrow\"><span id=\"MathJax-Span-128\" class=\"mi\">\u03ba<\/span><span id=\"MathJax-Span-129\" class=\"mo\">=<\/span><span id=\"MathJax-Span-130\" class=\"mi\">\u03a9<\/span><span id=\"MathJax-Span-131\" class=\"mo\">(<\/span><span id=\"MathJax-Span-132\" class=\"mi\">exp<\/span><span id=\"MathJax-Span-133\" class=\"mo\"><\/span><span id=\"MathJax-Span-134\" class=\"mo\">(<\/span><span id=\"MathJax-Span-135\" class=\"mi\">n<\/span><span id=\"MathJax-Span-136\" class=\"mo\">)<\/span><span id=\"MathJax-Span-137\" class=\"mo\">)<\/span><\/span><\/span><\/span>\u00a0and this leads to a significant difference between\u00a0<span id=\"MathJax-Element-18-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-138\" class=\"math\"><span id=\"MathJax-Span-139\" class=\"mrow\"><span id=\"MathJax-Span-140\" class=\"mi\">log<\/span><span id=\"MathJax-Span-141\" class=\"mo\"><\/span><span id=\"MathJax-Span-142\" class=\"mo\">(<\/span><span id=\"MathJax-Span-143\" class=\"mi\">\u03ba<\/span><span id=\"MathJax-Span-144\" class=\"mo\">)<\/span><\/span><\/span><\/span>\u00a0and\u00a0<span id=\"MathJax-Element-19-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-145\" class=\"math\"><span id=\"MathJax-Span-146\" class=\"mrow\"><span id=\"MathJax-Span-147\" class=\"texatom\"><span id=\"MathJax-Span-148\" class=\"mrow\"><span id=\"MathJax-Span-149\" class=\"mi\">p<\/span><span id=\"MathJax-Span-150\" class=\"mi\">o<\/span><span id=\"MathJax-Span-151\" class=\"mi\">l<\/span><span id=\"MathJax-Span-152\" class=\"mi\">y<\/span><\/span><\/span><span id=\"MathJax-Span-153\" class=\"mo\">(<\/span><span id=\"MathJax-Span-154\" class=\"mi\">log<\/span><span id=\"MathJax-Span-155\" class=\"mo\"><\/span><span id=\"MathJax-Span-156\" class=\"mo\">(<\/span><span id=\"MathJax-Span-157\" class=\"mi\">\u03ba<\/span><span id=\"MathJax-Span-158\" class=\"mo\">)<\/span><span id=\"MathJax-Span-159\" class=\"mo\">)<\/span><\/span><\/span><\/span>. We also provide evidence that the\u00a0<span id=\"MathJax-Element-20-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-160\" class=\"math\"><span id=\"MathJax-Span-161\" class=\"mrow\"><span id=\"MathJax-Span-162\" class=\"msubsup\"><span id=\"MathJax-Span-163\" class=\"mi\">n<\/span><span id=\"MathJax-Span-164\" class=\"mn\">2<\/span><\/span><\/span><\/span><\/span> time per evaluation cannot be improved and thus our running time is optimal. A bottleneck of previous cutting plane methods is to compute leverage scores, a measure of the relative importance of past constraints. Our result is achieved by a novel multi-layered data structure for leverage score maintenance, which is a sophisticated combination of diverse techniques such as random projection, batched low-rank update, inverse maintenance, polynomial interpolation, and fast rectangular matrix multiplication. Interestingly, our method requires a combination of different fast rectangular matrix multiplication algorithms.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Given a separation oracle for a convex set\u00a0K\u2282Rn\u00a0that is contained in a box of radius\u00a0R, the goal is to either compute a point in\u00a0K\u00a0or prove that\u00a0K\u00a0does not contain a ball of radius\u00a0\u03f5. We propose a new cutting plane algorithm that uses an optimal\u00a0O(nlog(\u03ba))\u00a0evaluations of the oracle and an additional\u00a0O(n2)\u00a0time per evaluation, where\u00a0\u03ba=nR\/\u03f5. This improves upon [&hellip;]<\/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":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"STOC 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Jiang","user_id":0,"rest_url":false},{"type":"text","value":"Yin Tat Lee","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Zhao Song","user_id":37935,"rest_url":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Zhao Song"},{"type":"text","value":"Sam Chiu-wai Wong","user_id":0,"rest_url":false}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[],"msr_project":[],"publication":[],"video":[],"msr-tool":[],"msr_publication_type":"inproceedings","related_content":[],"_links":{"self":[{"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/667467","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item"}],"about":[{"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-research-item"}],"version-history":[{"count":1,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/667467\/revisions"}],"predecessor-version":[{"id":667473,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/667467\/revisions\/667473"}],"wp:attachment":[{"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media?parent=667467"}],"wp:term":[{"taxonomy":"msr-research-highlight","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-research-highlight?post=667467"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=667467"},{"taxonomy":"msr-publication-type","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-publication-type?post=667467"},{"taxonomy":"msr-publisher","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-publisher?post=667467"},{"taxonomy":"msr-focus-area","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-focus-area?post=667467"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=667467"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=667467"},{"taxonomy":"msr-field-of-study","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-field-of-study?post=667467"},{"taxonomy":"msr-conference","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-conference?post=667467"},{"taxonomy":"msr-journal","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-journal?post=667467"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=667467"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=667467"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}