Publications of S Sra

Hosseini, R.; Sra, S.; Theis, L.; Bethge, M.: Inference and mixture modeling with the Elliptical Gamma Distribution. Computational Statistics Data Analysis 101, pp. 29 - 43 (2016)

Sra, S.: A short note on parameter approximation for von Mises-Fisher distributions: and a fast implementation of Is(x). Computational Statistics 27 (1), pp. 177 - 190 (2012)

Kim, D.; Sra, S.; Dhillon, I.: Tackling Box-Constrained Optimization via a New Projected Quasi-Newton Approach. SIAM Journal on Scientific Computing 32 (6), pp. 3548 - 3563 (2010)

Brickell, J.; Dhillon, I.; Sra, S.; Tropp, J.: The Metric Nearness Problem. SIAM journal on matrix analysis and applications 30 (1), pp. 375 - 396 (2008)

Sra, S.; Nowozin, S.; Wright, S. (Eds.): Optimization for Machine Learning. MIT Press, Cambridge, MA, USA (2011), 494 pp.

Sra, S.; Nowozin, S.; Wright, S.: Introduction: Optimization and Machine Learning. In: Optimization for Machine Learning, pp. 1 - 17 (Eds. Sra, S.; Nowozin, S.; Wright, S.). MIT Press, Cambridge, MA, USA (2011)

Banerjee, A.; Ghosh, J.; Dhillon, I.; Sra, S.: Text Clustering with Mixture of von Mises-Fisher Distributions. In: Text mining: classification, clustering, and applications, 6, pp. 121 - 154 (Eds. Srivastava, A.; Sahami, M.). CRC Press, Boca Raton, FL, USA (2009)

Cherian, A.; Sra, S.; Papanikolopoulos, N.: Denoising sparse noise via online dictionary learning. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), pp. 2060 - 2063. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), Praha, Czech Republic, May 22, 2011 - May 27, 2011. IEEE, Piscataway, NJ, USA (2011)

Harmeling, S.; Sra, S.; Hirsch, M.; Schölkopf, B.: Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction via Incremental EM. In: 17th International Conference on Image Processing (ICIP 2010), pp. 3313 - 3316. 17th International Conference on Image Processing (ICIP 2010), Hong Kong, China, September 26, 2010 - September 29, 2010. IEEE, Piscataway, NJ, USA (2010)

Hirsch, M.; Sra, S.; Schölkopf, B.; Harmeling, S.: Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution. In: Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), pp. 607 - 614. Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), San Francisco, CA, USA, June 13, 2010 - June 18, 2010. IEEE, Piscataway, NJ, USA (2010)

Kim, D.; Sra, S.; Dhillon, I.: A scalable trust-region algorithm with application to mixed-norm regression. In: 27th International Conference on Machine Learning (ICML 2010), pp. 519 - 526 (Eds. Fürnkranz, J.; Joachims, T.). 27th International Conference on Machine Learning (ICML 2010), Haifa, Israel, June 21, 2010 - June 24, 2010. Omnipress, Madison, WI, USA (2010)

Jegelka, S.; Sra, S.; Banerjee, A.: Approximation Algorithms for Tensor Clustering. In: Algorithmic Learning Theory: 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, pp. 368 - 383 (Eds. Gavalda, R.; Lugosi, G.; Zeugmann, T.; Zilles, S.). 20th International Conference on Algorithmic Learning Theory (ALT 2009), Porto, Portugal, October 03, 2009 - October 05, 2009. Springer, Berlin, Germany (2009)

Sra, S.; Kim, D.; Dhillon, I.; Schölkopf, B.: A new non-monotonic algorithm for PET image reconstruction. In: IEEE Nuclear Science Symposium Conference Record (NSS/MIC 2009), pp. 2500 - 2502 (Ed. Yu, P.). IEEE Nuclear Science Symposium Conference Record (NSS/MIC 2009), Orlando, FL, USA. IEEE, Piscataway, NJ, USA (2009)

Seeger, M.; Sra, S.; Cunningham, J.: Workshop summary: Numerical mathematics in machine learning. In: ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning, 9, pp. 1 - 9 (Eds. Danyluk, A.; Bottou, L.; Littman, M.). 26th Annual International Conference on Machine Learning (ICML 2009), Montreal, Quebec, Canada, June 14, 2009 - June 18, 2009. ACM Press, New York, NY, USA (2009)

Harmeling, S.; Hirsch, M.; Sra, S.; Schölkopf, B.: Online blind deconvolution for astronomical imaging. In: 2009 IEEE International Conference on Computational Photography (ICCP), pp. 1 - 7. First IEEE International Conference Computational Photography (ICCP 2009), San Francisco, CA, USA, April 16, 2009 - April 17, 2009. IEEE, Piscataway, NJ, USA (2009)

Kulis, B.; Sra, S.; Dhillon, I.: Convex Perturbations for Scalable Semidefinite Programming. In: Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), pp. 296 - 303 (Eds. van Dyk, D.; Welling, M.). Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), Clearwater Beach, FL, USA, April 16, 2009 - April 18, 2009. MIT Press, Cambridge, MA, USA (2009)

Cho, H.; Guan Y, Dhillon, I.; Sra, S.: Minimum Sum-Squared Residue based clustering of Gene Expression Data. In: SDM 2004, p. 00 - 00. SDM 2004. (2004)

Sra, S.: Solving Large-Scale Nonnegative Least Squares. In 16th Conference of the International Linear Algebra Society (ILAS 2010), p. 67. 16th Conference of the International Linear Algebra Society (ILAS 2010), Pisa, Italy. (2010)

Sra, S.: Matrix Approximation Problems. EU Regional School 2010: Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany (2010)

Sra, S.: New Projected Quasi-Newton Methods with Applications. Microsoft Research Tech-talk, Redmond, WA, USA (2008)