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SUMMARY:Bundle methods and its application in machine learning - Eric(Yong
 qiang) Wang  and Rory Waite
DTSTART:20100422T130000Z
DTEND:20100422T143000Z
UID:TALK23999@talks.cam.ac.uk
CONTACT:Shakir Mohamed
DESCRIPTION:We will present work on bundle methods for machine learning. I
 n this talk\, we would like to first briefly review some basic concepts in
  convex optimization\, using quadratic programming as an example. After th
 at\, we will give some examples of convex objective functions that are wid
 ely used in machine learning. Then we will talk about the cutting-plane me
 thod and bundle methods\, together with the convergence analysis. We may a
 lso talk a little bit on how these methods can be extended to the optimiza
 tion of non-convex functions.\n\nThe following two papers can be used as o
 ur references:\n\nTrinh-Minh-Tri Do and Thierry Arti`eres\, "Large Margin 
 Training for Hidden Markov Models with Partially Observed States"\, in Pro
 c.\nICML-2009.\n\nAlexander\, J.S. \,Vishwanathan\, S.V.N. and Quoc V.L. 
 “Bundle methods for machine learning”\, in Proc.NIPS-2007\n\n
LOCATION:Engineering Department\, CBL Room 438
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