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 | 2013 | |
|---|---|---|
| j7 |      | Suvrit Sra, Dmitrii Karp: The multivariate Watson distribution: Maximum-likelihood estimation and other aspects. J. Multivariate Analysis 114: 256-269 (2013) |
| 2012 | ||
| j6 | | Suvrit Sra: Fast projections onto mixed-norm balls with applications. Data Min. Knowl. Discov. 25(2): 358-377 (2012) |
| c21 | | Suvrit Sra: A new metric on the manifold of kernel matrices with application to matrix geometric means. NIPS 2012: 144-152 |
| c20 | | |
| i3 | | |
| 2011 | ||
| c19 | | Anoop Cherian, Suvrit Sra, Nikolaos Papanikolopoulos: Denoising sparse noise via online dictionary learning. ICASSP 2011: 2060-2063 |
| c18 | | Anoop Cherian, Suvrit Sra, Arindam Banerjee, Nikolaos Papanikolopoulos: Efficient similarity search for covariance matrices via the Jensen-Bregman LogDet Divergence. ICCV 2011: 2399-2406 |
| c17 |  | Álvaro Barbero Jiménez, Suvrit Sra: Fast Newton-type Methods for Total Variation Regularization. ICML 2011: 313-320 |
| c16 | | Suvrit Sra: Fast Projections onto ℓ1, q -Norm Balls for Grouped Feature Selection. ECML/PKDD (3) 2011: 305-317 |
| c15 | | Suvrit Sra, Anoop Cherian: Generalized Dictionary Learning for Symmetric Positive Definite Matrices with Application to Nearest Neighbor Retrieval. ECML/PKDD (3) 2011: 318-332 |
| 2010 | ||
| j5 | | Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon: Tackling Box-Constrained Optimization via a New Projected Quasi-Newton Approach. SIAM J. Scientific Computing 32(6): 3548-3563 (2010) |
| c14 | | Michael Hirsch, Suvrit Sra, Bernhard Schölkopf, Stefan Harmeling: Efficient filter flow for space-variant multiframe blind deconvolution. CVPR 2010: 607-614 |
| c13 | | Stefan Harmeling, Suvrit Sra, Michael Hirsch, Bernhard Schölkopf: Multiframe blind deconvolution, super-resolution, and saturation correction via incremental EM. ICIP 2010: 3313-3316 |
| c12 | | Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon: A scalable trust-region algorithm with application to mixed-norm regression. ICML 2010: 519-526 |
| 2009 | ||
| j4 | | Brian Kulis, Suvrit Sra, Inderjit S. Dhillon: Convex Perturbations for Scalable Semidefinite Programming. Journal of Machine Learning Research - Proceedings Track 5: 296-303 (2009) |
| c11 | | Stefanie Jegelka, Suvrit Sra, Arindam Banerjee: Approximation Algorithms for Tensor Clustering. ALT 2009: 368-383 |
| c10 | | Matthias Seeger, Suvrit Sra, John P. Cunningham: Workshop summary: Numerical mathematics in machine learning. ICML 2009: 169 |
| i2 | | |
| 2008 | ||
| j3 | | Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon: Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem. Statistical Analysis and Data Mining 1(1): 38-51 (2008) |
| j2 | | Justin Brickell, Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp: The Metric Nearness Problem. SIAM J. Matrix Analysis Applications 30(1): 375-396 (2008) |
| c9 | | |
| i1 | | Stefanie Jegelka, Suvrit Sra, Arindam Banerjee: Approximation Algorithms for Bregman Co-clustering and Tensor Clustering. CoRR abs/0812.0389 (2008) |
| 2007 | ||
| c8 | | Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra, Inderjit S. Dhillon: Information-theoretic metric learning. ICML 2007: 209-216 |
| c7 | | Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon: Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem. SDM 2007 |
| 2006 | ||
| c6 | | |
| c5 | | Arun C. Surendran, Suvrit Sra: Incremental Aspect Models for Mining Document Streams. PKDD 2006: 633-640 |
| 2005 | ||
| j1 | | 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) |
| c4 | | Inderjit S. Dhillon, Suvrit Sra: Generalized Nonnegative Matrix Approximations with Bregman Divergences. NIPS 2005 |
| 2004 | ||
| c3 | | Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp: Triangle Fixing Algorithms for the Metric Nearness Problem. NIPS 2004 |
| c2 | | Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvrit Sra: Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data. SDM 2004 |
| 2003 | ||
| c1 | | Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra: Generative model-based clustering of directional data. KDD 2003: 19-28 |
| 1 | Arindam Banerjee | |
| 2 | Justin Brickell | |
| 3 | Anoop Cherian | |
| 4 | Hyuk Cho | |
| 5 | John P. Cunningham | |
| 6 | Jason V. Davis | |
| 7 | Inderjit S. Dhillon | |
| 8 | Joydeep Ghosh | |
| 9 | Yuqiang Guan | |
| 10 | Stefan Harmeling | |
| 11 | Michael Hirsch | |
| 12 | Prateek Jain | |
| 13 | Stefanie Jegelka (Stefanie Sabrina Jegelka) | |
| 14 | Álvaro Barbero Jiménez | |
| 15 | Dmitrii Karp | |
| 16 | Dongmin Kim | |
| 17 | Brian Kulis | |
| 18 | Nikolaos Papanikolopoulos (Nikos Papanikolopoulos, Nikolaos P. Papanikolopoulos) | |
| 19 | Bernhard Schölkopf | |
| 20 | Matthias W. Seeger (Matthias Seeger) | |
| 21 | Arun C. Surendran | |
| 22 | Joel A. Tropp |
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