Travelled to:
1 × Canada
1 × Finland
1 × United Kingdom
2 × USA
Collaborated with:
N.Parrish L.Cazzanti Y.Chen B.Recht D.B.O'Brien R.M.Gray R.Arora A.Kapila M.Fazel
Talks about:
discrimin (2) similar (2) local (2) indefinit (1) dimension (1) stochast (1) gaussian (1) probabl (1) cluster (1) classif (1)
Person: Maya R. Gupta
DBLP: Gupta:Maya_R=
Contributed to:
Wrote 5 papers:
- ICML-2012-ParrishG #reduction
- Dimensionality Reduction by Local Discriminative Gaussians (NP, MRG), p. 30.
- ICML-2011-AroraGKF #clustering #matrix
- Clustering by Left-Stochastic Matrix Factorization (RA, MRG, AK, MF), pp. 761–768.
- ICML-2009-ChenGR #kernel #learning
- Learning kernels from indefinite similarities (YC, MRG, BR), pp. 145–152.
- ICML-2008-OBrienGG #classification #multi #probability
- Cost-sensitive multi-class classification from probability estimates (DBO, MRG, RMG), pp. 712–719.
- ICML-2007-CazzantiG #analysis #similarity
- Local similarity discriminant analysis (LC, MRG), pp. 137–144.