| 2007 |
|---|
| 9 | EE | Jason V. Davis,
Brian Kulis,
Prateek Jain,
Suvrit Sra,
Inderjit S. Dhillon:
Information-theoretic metric learning.
ICML 2007: 209-216 |
| 8 | EE | Dongmin Kim,
Suvrit Sra,
Inderjit S. Dhillon:
Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem.
SDM 2007 |
| 2006 |
|---|
| 7 | EE | Suvrit Sra:
Efficient Large Scale Linear Programming Support Vector Machines.
ECML 2006: 767-774 |
| 6 | EE | Arun C. Surendran,
Suvrit Sra:
Incremental Aspect Models for Mining Document Streams.
PKDD 2006: 633-640 |
| 2005 |
|---|
| 5 | EE | Inderjit S. Dhillon,
Suvrit Sra:
Generalized Nonnegative Matrix Approximations with Bregman Divergences.
NIPS 2005 |
| 4 | EE | Arindam Banerjee,
Inderjit S. Dhillon,
Joydeep Ghosh,
Suvrit Sra:
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions.
Journal of Machine Learning Research 6: 1345-1382 (2005) |
| 2004 |
|---|
| 3 | EE | Inderjit S. Dhillon,
Suvrit Sra,
Joel A. Tropp:
Triangle Fixing Algorithms for the Metric Nearness Problem.
NIPS 2004 |
| 2 | EE | Hyuk Cho,
Inderjit S. Dhillon,
Yuqiang Guan,
Suvrit Sra:
Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data.
SDM 2004 |
| 2003 |
|---|
| 1 | EE | Arindam Banerjee,
Inderjit S. Dhillon,
Joydeep Ghosh,
Suvrit Sra:
Generative model-based clustering of directional data.
KDD 2003: 19-28 |
