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BEGIN:VEVENT
SUMMARY:Random Matrices and Machine Learning
DTSTART:20170221T141500
DTEND:20170221T151500
DTSTAMP:20260430T123417Z
UID:8479681206ca42f8efc30cad76040b3ee335e5ef6a4fb6c5dd60046b
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Romain Couillet\nAbstract: This talk introduces recent r
 esults at the crossroads between random matrix theory and big data/machine
  learning. Assuming large dimensional and numerous data inputs\, concentra
 tion properties arise that allow for a renewed understanding of the perfor
 mances of classical machine learning schemes\, such as kernel methods\, sp
 ectral clustering\, community detection on graphs\, random neural networks
 \, etc. It will also be shown that these studies allow for possible improv
 ements of the methods.\nhttp://romaincouillet.hebfree.org/
LOCATION:BC 129 https://plan.epfl.ch/?room==BC%20129
STATUS:CONFIRMED
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