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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
S Sra, I Dhillon
Advances in neural information processing systems 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
Contrastive learning with hard negative samples
J Robinson, CY Chuang, S Sra, S Jegelka
ICLR 2021, 2021
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
Why gradient clipping accelerates training: A theoretical justification for adaptivity
J Zhang, T He, S Sra, A Jadbabaie
arXiv:1905.11881 (ICLR 2020), 2019
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
First-order methods for geodesically convex optimization
H Zhang, S Sra
Conference on Learning Theory (COLT), 2016
Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds
H Zhang, S J Reddi, S Sra
Advances in Neural Information Processing Systems 29, 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
Randomized nonlinear component analysis
D Lopez-Paz, S Sra, A Smola, Z Ghahramani, B Schölkopf
International conference on machine learning, 1359-1367, 2014
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
Geometric Mean Metric Learning
PH Zadeh, R Hosseini, S Sra
International Conference on Machine Learning (ICML), 2016
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
A short note on parameter approximation for von Mises-Fisher distributions: and a fast implementation of I s (x)
S Sra
Computational Statistics 27, 177-190, 2012
Entropic metric alignment for correspondence problems
J Solomon, G Peyré, VG Kim, S Sra
ACM Transactions on Graphics (ToG) 35 (4), 1-13, 2016
Positive definite matrices and the S-divergence
S Sra
Proceedings of the American Mathematical Society 144 (7), 2787-2797, 2016
Fast Newton-type methods for the least squares nonnegative matrix approximation problem
D Kim, S Sra, I Dhillon
SIAM Data Mining, 2007
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