{"id":18721,"date":"2020-02-25T15:15:41","date_gmt":"2020-02-25T12:15:41","guid":{"rendered":"https:\/\/w3.bilkent.edu.tr\/tr\/?p=18721"},"modified":"2020-03-04T08:36:53","modified_gmt":"2020-03-04T05:36:53","slug":"math-semineri-hoeffdings-inequality-gokhan-yildirim-sa-141-1640-3-mart-en","status":"publish","type":"post","link":"https:\/\/w3.bilkent.edu.tr\/tr\/math-semineri-hoeffdings-inequality-gokhan-yildirim-sa-141-1640-3-mart-en\/","title":{"rendered":"MATH Semineri: “Hoeffding’s Inequality”, G\u00f6khan Y\u0131ld\u0131r\u0131m, SA-141, 16:40 3 Mart (EN)"},"content":{"rendered":"

Dear Colleagues and Students,<\/p>\n

You are cordially invited to the Analysis Seminar organized by the Department of Mathematics.<\/p>\n

Speaker: G\u00f6khan Y\u0131ld\u0131r\u0131m (Bilkent)<\/p>\n

\u201cHoeffding’s Inequality\u201d<\/p>\n

Abstract: Concentration inequalities quantify how a random variable deviates from its mean by giving fast-decaying bounds on the tail probabilities. Such inequalities have very useful and interesting applications in statistics, data science, and machine learning. I will review Hoeffding’s inequality with its proof and present some applications.<\/p>\n

Date: Tuesday, March 3, 2020
\nTime: 16:00
\nPlace: Mathematics Seminar Room SA \u2013 141<\/p>\n","protected":false},"excerpt":{"rendered":"

Dear Colleagues and Students, You are cordially invited to the Analysis Seminar organized by the Department of Mathematics. Speaker: G\u00f6khan Y\u0131ld\u0131r\u0131m (Bilkent) \u201cHoeffding’s Inequality\u201d Abstract: Concentration inequalities quantify how a random variable deviates from its mean by giving fast-decaying bounds on the tail probabilities. Such inequalities have very useful and [\u2026] <\/p>\n

<\/div>\n

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