Publications of S Sra
All genres
Journal Article (10)
1.
Journal Article
101, pp. 29 - 43 (2016)
Statistical inference with the Elliptical Gamma Distribution. Computational Statistics & Data Analysis 2.
Journal Article
101, pp. 29 - 43 (2016)
Inference and mixture modeling with the Elliptical Gamma Distribution. Computational Statistics Data Analysis 3.
Journal Article
35 (9), pp. 2161 - 2174 (2013)
Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices. IEEE Transactions on Pattern Analysis and Machine Intelligence 4.
Journal Article
35 (9), pp. 2161 - 2174 (2012)
Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices. IEEE Transactions on Pattern Analysis and Machine Intelligence 5.
Journal Article
27 (1), pp. 177 - 190 (2012)
A short note on parameter approximation for von Mises-Fisher distributions: and a fast implementation of Is(x). Computational Statistics 6.
Journal Article
531 (A9), pp. 1 - 11 (2011)
Online Multi-frame Blind Deconvolution with Super-resolution and Saturation Correction. Astronomy & Astrophysics 7.
Journal Article
32 (6), pp. 3548 - 3563 (2010)
Tackling Box-Constrained Optimization via a New Projected Quasi-Newton Approach. SIAM Journal on Scientific Computing 8.
Journal Article
30 (1), pp. 375 - 396 (2008)
The Metric Nearness Problem. SIAM journal on matrix analysis and applications 9.
Journal Article
1 (1), pp. 38 - 51 (2008)
Fast Projection-based Methods for the Least Squares Nonnegative Matrix Approximation Problem. Statistical Analysis and Data Mining 10.
Journal Article
6, pp. 1345 - 1382 (2005)
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions. The Journal of Machine Learning Research Book (1)
11.
Book
Optimization for Machine Learning. MIT Press, Cambridge, MA, USA (2011), 494 pp.
Book Chapter (3)
12.
Book Chapter
Sra, S.; Nowozin, S.; Wright, S.). MIT Press, Cambridge, MA, USA (2011)
Projected Newton-type methods in machine learning. In: Optimization for Machine Learning, pp. 305 - 330 (Eds. 13.
Book Chapter
Sra, S.; Nowozin, S.; Wright, S.). MIT Press, Cambridge, MA, USA (2011)
Introduction: Optimization and Machine Learning. In: Optimization for Machine Learning, pp. 1 - 17 (Eds. 14.
Book Chapter
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)
Conference Paper (19)
15.
Conference Paper
Data modeling with the elliptical gamma distribution. In: Artificial Intelligence and Statistics, 9-12 May 2015, San Diego, California, USA, pp. 903 - 911 (Eds. Lebanon, G.; Vishwanathan, S.). 18th International Conference on Artificial Intelligence and Statistics (AISTATS 2015), San Diego, CA, USA. International Machine Learning Society, Madison, WI, USA (2015)
16.
Conference Paper
Geometric optimisation on positive definite matrices with application to elliptically contoured distributions. In: Advances in Neural Information Processing Systems 26, pp. 2564 - 2572 (Eds. Burges, C.; Bottou, L.; Welling, M.; Ghahramani, Z.). Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS 2013), Stateline, NV, USA. Curran, Red Hook, NY, USA (2014)
17.
Conference Paper
Statistical estimation for optimization problems on graphs. In: NIPS Workshop on Discrete Optimization in Machine Learning (DISCML) 2011: Uncertainty, Generalization and Feedback, pp. 1 - 6. NIPS Workshop on Discrete Optimization in Machine Learning (DISCML) 2011: Uncertainty, Generalization and Feedback. (2011)
18.
Conference Paper
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)
19.
Conference Paper
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)
20.
Conference Paper
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)