Travelled to:1 × Canada
1 × China
1 × Finland
1 × France
2 × USA
Collaborated with:D.Belanger R.Ge Q.Huang S.Shalev-Shwartz A.Tewari A.T.Kalai K.Ligett K.Chaudhuri K.Livescu K.Sridharan A.Agarwal N.Karampatziakis L.Song G.Valiant
Talks about:algorithm (2) predict (2) multi (2) multiclass (1) gaussian (1) approxim (1) approach (1) scalabl (1) revisit (1) cluster (1)
Person: Sham M. Kakade
DBLP: Kakade:Sham_M=
Contributed to:
2015
20152014200920082007Wrote 6 papers:
- ICML-2015-BelangerK #linear
- A Linear Dynamical System Model for Text (DB, SMK), pp. 833–842.
- STOC-2015-GeHK #learning
- Learning Mixtures of Gaussians in High Dimensions (RG, QH, SMK), pp. 761–770.
- ICML-c2-2014-AgarwalKKSV #multi #predict #scalability
- Least Squares Revisited: Scalable Approaches for Multi-class Prediction (AA, SMK, NK, LS, GV), pp. 541–549.
- ICML-2009-ChaudhuriKLS #analysis #canonical #clustering #correlation #multi
- Multi-view clustering via canonical correlation analysis (KC, SMK, KL, KS), pp. 129–136.
- ICML-2008-KakadeST #algorithm #multi #online #performance #predict
- Efficient bandit algorithms for online multiclass prediction (SMK, SSS, AT), pp. 440–447.
- STOC-2007-KakadeKL #algorithm #approximate #game studies
- Playing games with approximation algorithms (SMK, ATK, KL), pp. 546–555.