Travelled to:1 × Canada
1 × Israel
2 × China
2 × USA
Collaborated with:S.V.N.Vishwanathan Y.Prabhu B.R.Babu P.Jawanpuria J.S.Nath A.Jain D.Vasisht A.C.Damianou A.Kapoor C.Jose P.Goyal P.Aggrwal B.Hariharan L.Zelnik-Manor
Talks about:learn (6) kernel (5) multipl (3) general (2) classif (2) linear (2) effici (2) multi (2) label (2) fast (2)
Person: Manik Varma
DBLP: Varma:Manik
Contributed to:
2014
20142013201220102009Wrote 7 papers:
- ICML-c2-2014-JawanpuriaVN #feature model #kernel #learning #multi #on the
- On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection (PJ, MV, JSN), pp. 118–126.
- KDD-2014-PrabhuV #classification #learning #multi #named #performance
- FastXML: a fast, accurate and stable tree-classifier for extreme multi-label learning (YP, MV), pp. 263–272.
- KDD-2014-VasishtDVK #classification #learning #multi
- Active learning for sparse bayesian multilabel classification (DV, ACD, MV, AK), pp. 472–481.
- ICML-c3-2013-JoseGAV #kernel #learning #performance #predict
- Local Deep Kernel Learning for Efficient Non-linear SVM Prediction (CJ, PG, PA, MV), pp. 486–494.
- KDD-2012-JainVV #kernel #learning #multi #named
- SPF-GMKL: generalized multiple kernel learning with a million kernels (AJ, SVNV, MV), pp. 750–758.
- ICML-2010-HariharanZVV #classification #multi #scalability
- Large Scale Max-Margin Multi-Label Classification with Priors (BH, LZM, SVNV, MV), pp. 423–430.
- ICML-2009-VarmaB #kernel #learning #multi #performance
- More generality in efficient multiple kernel learning (MV, BRB), pp. 1065–1072.