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Suvrit Sra
Dr. (Univ. Texas at Austin; USA)
Position: Research Scientist
Room no.: 214
Phone: +49 7071 601 572
Fax: +49 7071 601 552

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My actual webpage


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2014
Conference Papers
  • D. Lopez-Paz, S. Sra, A. Smola, Z. Ghahramani, B. Schölkopf (2014). Randomized Nonlinear Component Analysis In: Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1), (Ed) Eric P. Xing and Tony Jebara, JMLR, 1359-1367, ICML 2014
2013
Articles
  • S. Sra, DB. Karp (2013). The multivariate Watson distribution: Maximum-likelihood estimation and other aspects Journal of Multivariate Analysis, 114, 256-269
Conference Papers
  • S. Sra, R. Hosseini (2013). Geometric optimisation on positive definite matrices for elliptically contoured distributions In: Advances in Neural Information Processing Systems 26, (Ed) C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger, 2562–2570, 27th Annual Conference on Neural Information Processing Systems (NIPS 2013)
  • S. Jegelka, F. Bach, S. Sra (2013). Reflection methods for user-friendly submodular optimization In: Advances in Neural Information Processing Systems 26, (Ed) C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger, 1313–1321, 27th Annual Conference on Neural Information Processing Systems (NIPS 2013)
2012
Articles
  • Sra, S. (2012). Explicit eigenvalues of certain scaled trigonometric matrices Linear Algebra and its Applications, State: accepted
  • A. Cherian, S. Sra, A. Banerjee, N. Papanikolopoulos (2012). Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices IEEE Transactions on Pattern Analysis and Machine Intelligence, State: in revision
  • S. Sra (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
  • Suvrit. Sra (2012). The Stein Divergence and Metric on Positive Definite Matrices IEEE Transactions on Pattern Analysis and Machine Intelligence, 12 pages, State: submitted
  • S. Sra (2012). Positive Definite Matrices and the Symmetric Stein Divergence SIAM Journal on Matrix Analysis and Applications (SIMAX), State: accepted
  • S. Sra (2012). Fast projection onto mixed-norm balls with applications Minining and Knowledge Discovery (DMKD), State: to be published
Conference Papers
  • S. Sra (2012). A new metric on the manifold of kernel matrices with application to matrix geometric means In: Advances in Neural Information Processing Systems 25, (Ed) P Bartlett and FCN Pereira and CJC. Burges and L Bottou and KQ Weinberger, Curran Associates Inc., 144–152, 26th Annual Conference on Neural Information Processing Systems (NIPS 2012)
  • S. Sra (2012). Scalable nonconvex inexact proximal splitting In: Advances of Neural Information Processing Systems 25, (Ed) P Bartlett and FCN Pereira and CJC. Burges and L Bottou and KQ Weinberger, Curran Associates Inc., 539–547, 26th Annual Conference on Neural Information Processing Systems (NIPS 2012)
Contributions to books
  • S. Sra (2012). Tractable large-scale optimization in machine learning In: Tractability: Practical Approaches to Hard Problems, (Ed) L Bordeaux and Y Hamadi and P Kohli and R Mateescu , Cambridge University Press , State: to be published
2011
Books
Articles
  • D. Kim, S. Sra, IS. Dhillon (2011). A non-monotonic method for large-scale non-negative least squares" Optimization Methods and Software, State: accepted
Conference Papers
  • A. Cherian, S. Sra, A. Banerjee, N. Papanikolopoulos (2011). Efficient Similarity Search for Covariance Matrices via the Jensen-Bregman LogDet Divergence In: IEEE International Conference on Computer Vision, ICCV 2011, (Ed) DN Metaxas and L Quan and A Sanfeliu and LJ Van Gool, IEEE, 2399-2406, 13th International Conference on Computer Vision (ICCV 2011)
  • M. Langovoy, S. Sra (2011). Statistical estimation for optimization problems on graphs 1-6, NIPS Workshop on Discrete Optimization in Machine Learning (DISCML) 2011: Uncertainty, Generalization and Feedback
  • S. Sra, A. Cherian (2011). Generalized Dictionary Learning for Symmetric Positive Definite Matrices with Application to Nearest Neighbor Retrieval In: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, LNCS vol 6913, Part III, (Ed) D Gunopulos and T Hofmann and D Malerba and M Vazirgiannis, Springer, 318-332, ISBN: 978-3-642-23807-9, 22th European Conference on Machine Learning (ECML 2011)
  • S. Sra (2011). Fast projections onto L1,q-norm balls for grouped feature selection In: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, LNCS vol 6913, Part III, (Ed) D Gunopulos and T Hofmann and D Malerba and M Vazirgiannis, Springer, 305-317, ISBN: 978-3-642-23807-9, 22th European Conference on Machine Learning (ECML 2011)
  • AJ. Barbero, S. Sra (2011). Fast Newton-type Methods for Total-Variation with Applications In: Proceedings of the 28th International Conference on Machine Learning, ICML 2011, (Ed) L Getoor and T Scheffer, Omnipress, 313-320, 28th International Conference on Machine Learning (ICML 2011)
  • A. Cherian, S. Sra, N. Papanikolopoulos (2011). Denoising sparse noise via online dictionary learning In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, IEEE, 2060 -2063, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011)
Contributions to books
  • M. Schmidt, D. Kim, S. Sra (2011). Projected Newton-type methods in machine learning In: Optimization for Machine Learning, (Ed) Sra, S. , S. Nowozin, S. J. Wright, MIT Press, Cambridge, MA, USA, 305-330, ISBN: 978-0-262-01646-9
Technical Reports
  • S. Sra (2011). Nonconvex proximal splitting: batch and incremental algorithms Max Planck Institute for Intelligent Systems, Tübingen, Germany
Posters
2010
Articles
  • D. Kim, S. Sra, IS. Dhillon (2010). Tackling Box-Constrained Optimization via a New Projected Quasi-Newton Approach SIAM Journal on Scientific Computing, 32, (6), 3548-3563
Conference Papers
  • M. Hirsch, S. Sra, B. Schölkopf, S. Harmeling (2010). Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution In: Proceedings of the 23rd IEEE Conference on Computer Vision and Pattern Recognition, Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), IEEE, Piscataway, NJ, USA, 607-614, ISBN: 978-1-424-47029-7, CVPR 2010
  • D. Kim, S. Sra, I. Dhillon (2010). A scalable trust-region algorithm with application to mixed-norm regression (Ed) Fürnkranz, J. , T. Joachims, Proceedings of the 27th International Conference on Machine Learning (ICML 2010), International Machine Learning Society, Madison, WI, USA, 519-526, ISBN: 978-1-605-58907-7, 27th International Conference on Machine Learning (ICML 2010)
  • S. Harmeling, S. Sra, M. Hirsch, B. Schölkopf (2010). Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction via Incremental EM Proceedings of the 17th International Conference on Image Processing (ICIP 2010), IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, USA, 3313-3316, 17th International Conference on Image Processing (ICIP 2010)
Technical Reports
  • S. Sra (2010). Generalized Proximity and Projection with Norms and Mixed-norms Max Planck Institute for Biological Cybernetics, Tübingen, Germany
  • R. Tandon, S. Sra (2010). Sparse nonnegative matrix approximation: new formulations and algorithms Max Planck Institute for Biological Cybernetics, Tübingen, Germany
Posters
  • S. Sra (2010). Solving large-scale nonnegative least-squares 16th Conference of the International Linear Algebra Society (ILAS 2010), 16, 19
  • S. Sra, D. Kim, I. Dhillon (2010). Solving large-scale nonnegative least squares using an adaptive non-monotonic method 24th European Conference on Operational Research (EURO 2010), 24, 223
  • D. Kim, S. Sra, I. Dhillon (2010). Sparse regression via a trust-region proximal method 24th European Conference on Operational Research (EURO 2010), 24, 278
Talks
  • S. Sra (2010). Matrix Approximation Problems EU Regional School 2010: Rheinisch-Westfälische Technische Hochschule Aachen
  • S. Sra (2010). Solving Large-Scale Nonnegative Least Squares 16th Conference of the International Linear Algebra Society (ILAS 2010)
2009
Conference Papers
  • B. Kulis, S. Sra, I. Dhillon (2009). Convex Perturbations for Scalable Semidefinite Programming In: JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009, (Ed) van Dyk, D. , M. Welling, Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), MIT Press, Cambridge, MA, USA, 296-303, Twelfth International Conference on Artificial Intelligence and Statistics
  • S. Harmeling, M. Hirsch, S. Sra, B. Schölkopf (2009). Online blind deconvolution for astronomical imaging Proceedings of the First IEEE International Conference Computational Photography (ICCP 2009), IEEE, Piscataway, NJ, USA, 1-7, ISBN: 978-1-4244-4534-9 , First IEEE International Conference on Computational Photography (ICCP 2009)
  • S. Sra, D. Kim, I. Dhillon, B. Schölkopf (2009). A new non-monotonic algorithm for PET image reconstruction In: IEEE - Nuclear Science Symposium Conference Record (NSS/MIC), (Ed) B Yu, Proceedings of the IEEE Nuclear Science Symposium Conference Record (NSS/MIC 2009), 2009, IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, USA, 2500-2502, IEEE Nuclear Science Symposium and Medical Imaging Conference
  • S. Jegelka, S. Sra, A. Banerjee (2009). Approximation Algorithms for Tensor Clustering In: ALT 2009, (Ed) Gavalda, R. , G. Lugosi, T. Zeugmann, S. Zilles, Algorithmic Learning Theory: 20th International Conference (ALT 2009), Springer, Berlin, Germany, 368-383, The 20th International Conference on Algorithmic Learning Theory
Contributions to books
  • S. Sra, A. Banerjee, J. Ghosh, I. Dhillon (2009). Text Clustering with Mixture of von Mises-Fisher Distributions In: Text mining: classification, clustering, and applications, (Ed) Srivastava, A. N., M. Sahami, CRC Press, Boca Raton, FL, USA, 121-161, ISBN: 978-1-4200-5940-3
Technical Reports
2008
Articles
  • D. Kim, S. Sra, I. Dhillon (2008). Fast Projection-based Methods for the Least Squares Nonnegative Matrix Approximation Problem Statistical Analysis and Data Mining, 1, (1), 38-51
  • J. Brickell, IS. Dhillon, S. Sra, JA. Tropp (2008). The Metric Nearness Problem SIAM Journal on Matrix Analysis and Applications, 30, (1), 375-396
Conference Papers
  • S. Sra (2008). Block Iterative Algorithms for Non-negative Matrix Approximation In: ICDM 2008, (Ed) Giannotti, F. , D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, X. Wu, Proceedings of the Eighth IEEE International Conference on Data Mining (ICDM 2008), IEEE Service Center, Piscataway, NJ, USA, 1037-1042, Eighth IEEE International Conference on Data Mining
Technical Reports
  • S. Sra (2008). Block-Iterative Algorithms for Non-Negative Matrix Approximation Max-Planck Institute for Biological Cybernetics, Tübingen, Germany