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Conference Paper (19)

21.
Conference Paper
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)
22.
Conference Paper
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)
23.
Conference Paper
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)
24.
Conference Paper
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)
25.
Conference Paper
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)
26.
Conference Paper
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)
27.
Conference Paper
Sra, S.: Block Iterative Algorithms for Non-negative Matrix Approximation. In: 2008 Eighth IEEE International Conference on Data Mining, pp. 1037 - 1042 (Eds. Giannotti, F.; Gunopulos, D.; Turini, F.; Zaniolo, C.; Ramakrishnan, N. et al.). Eighth IEEE International Conference on Data Mining (ICDM 2008), Pisa, Italy, December 15, 2008 - December 19, 2008. IEEE, Piscataway, NJ, USA (2009)
28.
Conference Paper
Davis, J.; Kulis, B.; Jain, P.; Sra, S.; Dhillon, I.: Information-theoretic Metric Learning. In: ICML '07: 24th International Conference on Machine Learning, pp. 209 - 216 (Ed. Ghahramani, Z.). 24th Annual International Conference on Machine Learning (ICML 2007), Corvallis, OR, USA, June 20, 2007 - June 24, 2007. ACM Press, New York, NY, USA (2007)
29.
Conference Paper
Kim, D.; Sra, S.; Dhillon, I.: Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem. In: 2007 SIAM International Conference on Data Mining, pp. 343 - 354 (Eds. Apte, C.; Skillicorn, D.; Liu, B.; Parthasarathy, S.). Seventh SIAM International Conference on Data Mining (SDM 2007), Minneapolis, MN, USA, April 26, 2007 - April 28, 2007. Society for Industrial and Applied Mathematics, Pittsburgh, PA, USA (2007)
30.
Conference Paper
Davis, J.; Kulis, B.; Sra, S.; Dhillon, I.: Information-theoretic Metric Learning. In: NIPS 2006 Workshop on Learning to Compare Examples, pp. 1 - 5. NIPS 2006 Workshop on Learning to Compare Examples, Whistler, BC, Canada, December 08, 2006. (2006)
31.
Conference Paper
Sra, S.: Efficient Large Scale Linear Programming Support Vector Machines. In: Machine Learning: ECML 2006: 17th European Conference on Machine Learning Berlin, Germany, September 18-22, 2006, pp. 767 - 774 (Eds. Fürnkranz, J.; Scheffer, T.; Spiliopoulou, M.). 17th European Conference on Machine Learning (ECML 2006), Berlin, Germany, September 18, 2006 - September 22, 2006. Springer, Berlin, Germany (2006)
32.
Conference Paper
Dhillon, I.; Sra, S.; Tropp, J.: Triangle Fixing Algorithms for the Metric Nearness Problem. In: Advances in Neural Information Processing Systems 17, pp. 361 - 368 (Eds. Saul, L.; Weiss, Y.; Bottou, L.). Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), Vancouver, BC, Canada, December 13, 2004 - December 16, 2004. MIT Press, Cambridge, MA, USA (2005)
33.
Conference Paper
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)

Meeting Abstract (1)

34.
Meeting Abstract
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)

Talk (3)

35.
Talk
Sra, S.: Matrix Approximation Problems. EU Regional School 2010: Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany (2010)
36.
Talk
Sra, S.: New Projected Quasi-Newton Methods with Applications. Microsoft Research Tech-talk, Redmond, WA, USA (2008)
37.
Talk
Sra, S.; Nowozin, S.; Vishwanathan, S.: Optimization for Machine Learning. NIPS 2008 Workshop: Optimization for Machine Learning, Whistler, BC, Canada (2008)

Poster (2)

38.
Poster
Kim, D.; Sra, S.; Dhillon, I.: Sparse regression via a trust-region proximal method. 24th European Conference on Operational Research (EURO XXIV), Lisboa, Portugal (2010)
39.
Poster
Sra, S.; Kim, D.; Dhillon, I.: Solving large-scale nonnegative least squares using an adaptive non-monotonic method. 24th European Conference on Operational Research (EURO XXIV), Lisboa, Portugal (2010)

Report (17)

40.
Report
Tandon, R.; Sra, S.: Sparse nonnegative matrix approximation: new formulations and algorithms (Technical Report of the Max Planck Institute for Biological Cybernetics, 193). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 19 pp.
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