Books (1): |
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Sra S  , Nowozin S and Wright SJ : Optimization for Machine Learning, 494, MIT Press, Cambridge, MA, USA, (December-2011).
ISBN: 978-0-262-01646-9
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Articles (6): |
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Sra S (March-2012) A short note on parameter approximation for von Mises-Fisher distributions: and a fast implementation of Is(x)
Computational Statistics 27(1) 177-190.
 
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Hirsch M , Harmeling S , Sra S and Schölkopf B (July-2011) Online Multi-frame Blind Deconvolution with Super-resolution and Saturation Correction
Astronomy & Astrophysics 531(A9) 1-11.
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Kim D , Sra S and Dhillon IS (December-2010) Tackling Box-Constrained Optimization via a New Projected Quasi-Newton Approach
SIAM Journal on Scientific Computing 32(6) 3548-3563.
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Brickell J , Dhillon IS , Sra S and Tropp JA (April-2008) The Metric Nearness Problem
SIAM Journal on Matrix Analysis and Applications 30(1) 375-396.
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Kim D , Sra S and Dhillon I (February-2008) Fast Projection-based Methods for the Least Squares Nonnegative Matrix Approximation Problem
Statistical Analysis and Data Mining 1(1) 38-51.
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Banerjee A , Dhillon I , Ghosh J and Sra S (September-2005) Clustering on the Unit Hypersphere using von Mises-Fisher Distributions
Journal of Machine Learning Research 6 1345-1382.
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Conference papers (18): |
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Harmeling S , Sra S , Hirsch M and Schölkopf B (September-2010) Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction via Incremental EM
17th International Conference on Image Processing (ICIP 2010), IEEE, Piscataway, NJ, USA, 3313-3316.
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Kim D , Sra S and Dhillon I (June-2010) A scalable trust-region algorithm with application to mixed-norm regression
27th International Conference on Machine Learning (ICML 2010), International Machine Learning Society, Madison, WI, USA, 519-526.
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Hirsch M , Sra S , Schölkopf B and Harmeling S (June-2010) Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution
Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), IEEE, Piscataway, NJ, USA, 607-614.
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Sra S , Kim D , Dhillon I and Schölkopf B (October-2009) A new non-monotonic algorithm for PET image reconstruction
In: NSS/MIC 2009, IEEE Nuclear Science Symposium Conference Record, IEEE, Piscataway, NJ, USA, 2009, 2500-2502.
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Jegelka S , Sra S and Banerjee A (October-2009) Approximation Algorithms for Tensor Clustering
In: ALT 2009, The 20th International Conference on Algorithmic Learning Theory, Springer, Berlin, Germany, 368-383.
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Kulis B , Sra S and Dhillon I (April-2009) Convex Perturbations for Scalable Semidefinite Programming
In: AIStats 2009, Twelfth International Conference on Artificial Intelligence and Statistics, MIT Press, Cambridge, MA, USA, 296-303.
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Harmeling S , Hirsch M , Sra S and Schölkopf B (April-2009) Online blind deconvolution for astronomical imaging
First IEEE International Conference Computational Photography (ICCP 2009), IEEE, Piscataway, NJ, USA, 1-7.
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Sra S (December-2008) Block Iterative Algorithms for Non-negative Matrix Approximation
In: ICDM 2008, Eighth IEEE International Conference on Data Mining, IEEE Service Center, Piscataway, NJ, USA, 1037-1042.
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Davis JV , Kulis B , Jain P , Sra S and Dhillon IS (June-2007) Information-theoretic Metric Learning
In: ICML 2007, 24th Annual International Conference on Machine Learning, ACM Press, New York, NY, USA, 209-216.
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Kim D , Sra S and Dhillon I (April-2007) Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem
In: SDM 2007, SIAM International Conference on Data Mining, Society for Industrial and Applied Mathematics, Pittsburgh, PA, USA, 343-354.
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Davis J , Kulis B , Sra S and Dhillon I (December-2006) Information-theoretic Metric Learning
NIPS 2006 Workshop on Learning to Compare Examples, 1-5.
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Sra S (September-2006) Efficient Large Scale Linear Programming Support Vector Machines
In: ECML 2006, 17th European Conference on Machine Learning, Springer, Berlin, Germany, 767-774.
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Surendran A and Sra S (September-2006) Incremental Aspect Models for Mining Document Streams
In: PKDD 2006, 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Springer, Berlin, Germany, 633-640.
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Dhillon I and Sra S (May-2006) Generalized Nonnegative Matrix Approximations with Bregman Divergences
In: Advances in neural information processing systems 18, Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005), MIT Press, Cambridge, MA, USA, 283-290.
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Sra S and Tropp J (May-2006) Row-Action Methods for Compressed Sensing
In: ICASSP 2006, IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE Operations Center, Piscataway, NJ, USA, 868-871.
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Dhillon I , Sra S and Tropp J (July-2005) Triangle Fixing Algorithms for the Metric Nearness Problem
In: Advances in Neural Information Processing Systems 17, Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 361-368.
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Cho H , Guan Y , Dhillon I and Sra S (April-2004) Minimum Sum-Squared Residue based clustering of Gene Expression Data
SDM 2004, 00-00.
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Banerjee A , Dhillon I , Ghosh J and Sra S (August-2003) Generative Model-based Clustering of Directional Data
KDD 2003, 00-00.
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Contributions to books (2): |
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Schmidt M , Kim D and Sra S : Projected Newton-type methods in machine learning, 305-330.
In: Optimization for Machine Learning, (Ed) S. Sra, MIT Press, Cambridge, MA, USA, (December-2011).
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Sra S , Banerjee A , Ghosh J and Dhillon I : Text Clustering with Mixture of von Mises-Fisher Distributions, 121-161.
In: Text mining: classification, clustering, and applications, (Ed) A. N. Srivastava, CRC Press, Boca Raton, FL, USA, (June-2009).
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Technical reports (18): |
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Tandon R and Sra S : Sparse nonnegative matrix
approximation: new formulations and algorithms, 193, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (September-2010).
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Barbero Jimenez A and Sra S : Fast algorithms for total-variation
based optimization, 194, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (August-2010).
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Sra S : Generalized Proximity and Projection with Norms and Mixed-norms, 192, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (May-2010).
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Harmeling S , Sra S , Hirsch M and Schölkopf B : An Incremental GEM Framework for Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction, 187, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (November-2009).
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Hirsch M , Sra S , Schölkopf B and Harmeling S : Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution, 188, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (November-2009).
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Sra S , Jegelka S and Banerjee A : Approximation Algorithms for Bregman
Clustering Co-clustering and Tensor Clustering, 177, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (September-2008).
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Sra S : Block-Iterative Algorithms for
Non-Negative Matrix Approximation, 176, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (September-2008).
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Kim D , Sra S and Dhillon I : A New Non-monotonic Gradient Projection Method for the Non-negative Least Squares Problem, TR-08-28, University of Texas, Austin, TX, USA, (June-2008).
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Sra S , Kim D and Schölkopf B : Non-monotonic Poisson Likelihood Maximization, 170, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (June-2008).
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Kulis B , Sra S and Jegelka S : Scalable Semidefinite Programming using Convex Perturbations, TR-07-47, University of Texas, Austin, TX, USA, (September-2007).
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Sra S , Jain P and Dhillon I : Modeling data using directional distributions: Part II, TR-07-05, University of Texas, Austin, TX, USA, (February-2007).
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Kim D , Sra S and Dhillon I : A New Projected Quasi-Newton Approach for the Nonnegative Least Squares Problem, TR-06-54, Univ. of Texas, Austin, (December-2006).
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Sra S and Dhillon I : Nonnegative Matrix Approximation: Algorithms and Applications, Univ. of Texas, Austin, (May-2006).
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Sra S and Dhillon I : Generalized Nonnegative Matrix Approximations using Bregman Divergences, Univ. of Texas at Austin, (June-2005).
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Dhillon I , Sra S and Tropp J : Triangle Fixing Algorithms for the Metric Nearness Problem, Univ. of Texas at Austin, (June-2004).
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Dhillon I , Sra S and Tropp J : The Metric Nearness Problem with Applications, Univ. of Texas at Austin, (June-2003).
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Banerjee A , Dhillon I , Ghosh J and Sra S : Expectation Maximization for Clustering on Hyperspheres, Univ. of Texas at Austin, (February-2003).
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Dhillon I and Sra S : Modeling Data using Directional Distributions, Univ. of Texas at Austin, (January-2003).
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Posters (3): |
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Sra S (June-2010): Solving large-scale nonnegative least-squares, 16th Conference of the International Linear Algebra Society (ILAS 2010), 16 19.
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Sra S , Kim D and Dhillon I (April-2010): Solving large-scale nonnegative least squares using an adaptive non-monotonic method, 24th European Conference on Operational Research (EURO 2010), 24 223.
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Kim D , Sra S and Dhillon I (April-2010): Sparse regression via a trust-region proximal method, 24th European Conference on Operational Research (EURO 2010), 24 278.
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Talks (3): |
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Sra S (June-2010): Solving Large-Scale Nonnegative Least Squares, 16th Conference of the International Linear Algebra Society (ILAS 2010), Pisa, Italy.
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Sra S (May-5-2010): Matrix Approximation Problems, EU Regional School 2010: Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany.
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