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All publications by Suvrit Sra
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Fixed-point algorithms for learning determinantal point processes
Zelda Mariet and Suvrit Sra
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra, Barnabas Poczos and Alex J. Smola
Advances in Neural Information Processing Systems 28, 2015


Matrix Manifold Optimization for Gaussian Mixtures
Reshad Hosseini and Suvrit Sra
Advances in Neural Information Processing Systems 28, 2015


Randomized Nonlinear Component Analysis
David Lopez-paz, Suvrit Sra, Alex Smola, Zoubin Ghahramani and Bernhard Schoelkopf
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Randomized Nonlinear Component Analysis
David Lopez-paz, Suvrit Sra, Alex Smola, Zoubin Ghahramani and Bernhard Schoelkopf
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Towards an optimal stochastic alternating direction method of multipliers
Samaneh Azadi and Suvrit Sra
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Efficient Structured Matrix Rank Minimization
Adams W. Yu, Wanli Ma, Yaoliang Yu, Jaime Carbonell and Suvrit Sra
Advances in Neural Information Processing Systems 27, 2014


Geometric optimisation on positive definite matrices for elliptically contoured distributions
Suvrit Sra and Reshad Hosseini
Advances in Neural Information Processing Systems 26, 2013


Reflection methods for user-friendly submodular optimization
Stefanie Jegelka, Francis Bach and Suvrit Sra
Advances in Neural Information Processing Systems 26, 2013


Scalable nonconvex inexact proximal splitting
Suvrit Sra
Advances in Neural Information Processing Systems 25, 2012


A new metric on the manifold of kernel matrices with application to matrix geometric means
Suvrit Sra
Advances in Neural Information Processing Systems 25, 2012


Fast Newton-type Methods for Total Variation Regularization
Álvaro Barbero and Suvrit Sra
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A scalable trust-region algorithm with application to mixed-norm regression
Dongmin Kim, Suvrit Sra and Inderjit S. Dhillon
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Workshop summary: Numerical mathematics in machine learning
Matthias Seeger, Suvrit Sra and John P. Cunningham
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Convex Perturbations for Scalable Semidefinite Programming
Brian Kulis, Suvrit Sra and Inderjit S. Dhillon
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Information-theoretic metric learning
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra and Inderjit S. Dhillon
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Generalized Nonnegative Matrix Approximations with Bregman Divergences
Suvrit Sra and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 18, 2005


Clustering on the Unit Hypersphere using von Mises-Fisher Distributions
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh and Suvrit Sra
Journal of Machine Learning Research, 2005


Triangle Fixing Algorithms for the Metric Nearness Problem
Suvrit Sra, Joel Tropp and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 17, 2004