Suvrit Sra
Cited by
Cited by
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
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions.
A Banerjee, IS Dhillon, J Ghosh, S Sra
Journal of Machine Learning Research 6 (9), 2005
Optimization for machine learning
S Sra, S Nowozin, SJ Wright
Mit Press, 2012
Generalized nonnegative matrix approximations with Bregman divergences
IS Dhillon, S Sra
NIPS 18, 2005
Stochastic Variance Reduction for Nonconvex Optimization
SJ Reddi, A Hefny, S Sra, B Póczós, A Smola
International Conference on Machine Learning (ICML), 2016
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
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
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
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
Randomized nonlinear component analysis
D Lopez-Paz, S Sra, A Smola, Z Ghahramani, B Schölkopf
International conference on machine learning, 1359-1367, 2014
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
Positive definite matrices and the S-divergence
S Sra
Proceedings of the American Mathematical Society 144 (7), 2787-2797, 2016
Proximal stochastic methods for nonsmooth nonconvex finite-sum optimization
SJ Reddi, S Sra, B Poczos, A Smola
Advances in Neural Information Processing Systems, 2016
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
Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds
H Zhang, S J Reddi, S Sra
Advances in Neural Information Processing Systems 29, 4592-4600, 2016
Fast Newton-type methods for the least squares nonnegative matrix approximation problem
D Kim, S Sra, I Dhillon
SIAM Data Mining, 2007
First-order methods for geodesically convex optimization
H Zhang, S Sra
Conference on Learning Theory (COLT), 2016
A new metric on the manifold of kernel matrices with application to matrix geometric means
S Sra
Advances in neural information processing systems 25, 144-152, 2012
Geometric Mean Metric Learning
PH Zadeh, R Hosseini, S Sra
International Conference on Machine Learning (ICML), 2016
Modeling data using directional distributions
IS Dhillon, S Sra
Technical Report TR-03-06, Department of Computer Sciences, The University …, 2003
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