Travelled to:1 × Canada
1 × China
1 × United Kingdom
Collaborated with:V.Govindaraju A.Rakhlin O.Shamir F.Farooq M.J.Beal S.Ben-David D.Loker N.Srebro K.Chaudhuri S.M.Kakade K.Livescu
Talks about:convex (2) optim (2) handwritten (1) misclassif (1) stochast (1) identifi (1) gradient (1) document (1) competit (1) descent (1)
Person: Karthik Sridharan
DBLP: Sridharan:Karthik
Contributed to:
20122009
2006Wrote 5 papers:
- ICML-2012-Ben-DavidLSS #classification #fault #using
- Minimizing The Misclassification Error Rate Using a Surrogate Convex Loss (SBD, DL, NS, KS), p. 16.
- ICML-2012-RakhlinSS #optimisation #probability
- Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization (AR, OS, KS), p. 204.
- ICML-2009-ChaudhuriKLS #analysis #canonical #clustering #correlation #multi
- Multi-view clustering via canonical correlation analysis (KC, SMK, KL, KS), pp. 129–136.
- ICPR-v2-2006-FarooqSG #documentation #identification
- Identifying Handwritten Text in Mixed Documents (FF, KS, VG), pp. 1142–1145.
- ICPR-v2-2006-SridharanBG
- Competitive Mixtures of Simple Neurons (KS, MJB, VG), pp. 494–497.