Suvrit Sra
TitleCited byYear
Information-theoretic metric learning
JV Davis, B Kulis, P Jain, S Sra, IS Dhillon
Proceedings of the 24th international conference on Machine learning, 209-216, 2007
17452007
Clustering on the unit hypersphere using von Mises-Fisher distributions
A Banerjee, IS Dhillon, J Ghosh, S Sra
Journal of Machine Learning Research 6 (Sep), 1345-1382, 2005
6442005
Generalized nonnegative matrix approximations with Bregman divergences
S Sra, IS Dhillon
Advances in neural information processing systems, 283-290, 2006
3952006
Minimum sum-squared residue co-clustering of gene expression data
H Cho, IS Dhillon, Y Guan, S Sra
Proceedings of the 2004 SIAM International Conference on Data Mining, 114-125, 2004
3642004
Optimization for machine learning
S Sra, S Nowozin, SJ Wright
Mit Press, 2012
3362012
Efficient filter flow for space-variant multiframe blind deconvolution
M Hirsch, S Sra, B Schölkopf, S Harmeling
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, 607-614, 2010
1772010
Stochastic Variance Reduction for Nonconvex Optimization
SJ Reddi, A Hefny, S Sra, B Póczós, A Smola
International Conference on Machine Learning (ICML), 2016
1502016
Fast Newton-type methods for the least squares nonnegative matrix approximation problem
D Kim, S Sra, I Dhillon
SIAM Data Mining, 2007
1192007
Generative model-based clustering of directional data
A Banerjee, I Dhillon, J Ghosh, S Sra
Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003
1162003
Jensen-bregman logdet divergence with application to efficient similarity search for covariance matrices
A Cherian, S Sra, A Banerjee, N Papanikolopoulos
IEEE transactions on pattern analysis and machine intelligence 35 (9), 2161-2174, 2013
110*2013
On variance reduction in stochastic gradient descent and its asynchronous variants
SJ Reddi, A Hefny, S Sra, B Poczos, AJ Smola
Advances in Neural Information Processing Systems, 2647-2655, 2015
108*2015
A short note on parameter approximation for von Mises-Fisher distributions: and a fast implementation of I s (x)
S Sra
Computational Statistics 27 (1), 177-190, 2012
1022012
Positive definite matrices and the S-divergence
S Sra
Proceedings of the American Mathematical Society 144 (7), 2787-2797, 2016
95*2016
Randomized nonlinear component analysis
D Lopez-Paz, S Sra, A Smola, Z Ghahramani, B Schölkopf
International Conference on Machine Learning, 1359-1367, 2014
872014
Modeling data using directional distributions
IS Dhillon, S Sra
Technical Report TR-03-06, Department of Computer Sciences, The University …, 2003
842003
A new metric on the manifold of kernel matrices with application to matrix geometric means
S Sra
Advances in neural information processing systems, 144-152, 2012
782012
Efficient similarity search for covariance matrices via the Jensen-Bregman LogDet divergence
A Cherian, S Sra, A Banerjee, N Papanikolopoulos
IEEE, 2011
73*2011
Riemannian sparse coding for positive definite matrices
A Cherian, S Sra
European Conference on Computer Vision, 299-314, 2014
68*2014
Nonnegative matrix approximation: Algorithms and applications
S Sra, IS Dhillon
Computer Science Department, University of Texas at Austin, 2006
682006
Fast Newton-type methods for total variation regularization
A Barbero, S Sra
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
672011
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Articles 1–20