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Near-Optimal Herding
Published on Jul 15, 20143713 Views
Herding is an algorithm of recent interest in the machine learning community, motivated by inference in Markov random fields. It solves the following sampling problem: given a set X⊂Rd with mean μ, co
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Near-Optimal Herding00:00
Near-Optimal Herding - 100:10
Herding and Sampling Problem - 100:47
Herding and Sampling Problem - 202:25
Herding and Sampling Problem - 302:27
Herding and Sampling Problem - 402:29
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Herding and Sampling Problem - 902:36
Herding and Sampling Problem - 1002:37
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Herding and Sampling Problem - 1202:39
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Herding and Sampling Problem - 1402:40
Herding and Sampling Problem - 1502:41
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Herding and Sampling Problem - 1702:54
Herding and Sampling Problem - 1802:56
Herding and Sampling Problem - 1902:57
Herding and Sampling Problem - 2003:00
Herding and Sampling Problem - 2103:03
Herding and Sampling Problem - 2203:04
Herding and Sampling Problem - 2303:06
Herding and Sampling Problem - 2403:08
Herding and Sampling Problem - 2503:08
Herding and Sampling Problem - 2603:09
Herding and Sampling Problem - 2703:10
Herding and Sampling Problem - 2803:11
Herding and Sampling Problem - 2903:12
Herding and Sampling Problem - 3003:13
Herding and Sampling Problem - 3103:13
Herding and Sampling Problem - 3203:14
Assumptions03:24
Algorithms - 105:03
Algorithms - 207:51
Algorithms - 309:03
Our approach09:18
Discrepancy - 110:58
Discrepancy - 212:09
Discrepancy - 312:51
Discrepancy - 413:07
Discrepancy - 513:14
Discrepancy - 613:57
Discrepancy - 714:17
Discrepancy - 814:22
Discrepancy - 914:26
Discrepancy - 1014:27
Our Algorithm15:24
Thank you17:17