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
19982007
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
7342005
Generalized nonnegative matrix approximations with Bregman divergences
S Sra, IS Dhillon
Advances in neural information processing systems, 283-290, 2006
4272006
Optimization for machine learning
S Sra, S Nowozin, SJ Wright
Mit Press, 2012
4122012
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
3772004
Stochastic Variance Reduction for Nonconvex Optimization
SJ Reddi, A Hefny, S Sra, B Póczós, A Smola
International Conference on Machine Learning (ICML), 2016
2612016
Efficient filter flow for space-variant multiframe blind deconvolution
M Hirsch, S Sra, B Schölkopf, S Harmeling
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
1912010
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
1272003
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
125*2015
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, 2012
125*2012
Fast Newton-type methods for the least squares nonnegative matrix approximation problem
D Kim, S Sra, I Dhillon
SIAM Data Mining, 2007
1252007
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
1142012
Positive definite matrices and the S-divergence
S Sra
Proceedings of the American Mathematical Society 144 (7), 2787-2797, 2016
113*2016
Randomized nonlinear component analysis
D Lopez-Paz, S Sra, A Smola, Z Ghahramani, B Schölkopf
International conference on machine learning, 1359-1367, 2014
1132014
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization
SJ Reddi, S Sra, B Poczos, A Smola
Advances in Neural Information Processing Systems, 2016
111*2016
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
942012
Modeling data using directional distributions
IS Dhillon, S Sra
Technical Report TR-03-06, Department of Computer Sciences, The University …, 2003
902003
Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds
H Zhang, SJ Reddi, S Sra
Advances in Neural Information Processing Systems, 4592-4600, 2016
89*2016
Fast Newton-type methods for total variation regularization
A Barbero, S Sra
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
792011
Efficient similarity search for covariance matrices via the Jensen-Bregman LogDet divergence
A Cherian, S Sra, A Banerjee, N Papanikolopoulos
2011 International Conference on Computer Vision, 2399-2406, 2011
78*2011
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Articles 1–20