Publications of S Jegelka

Shen, H.; Jegelka, S.; Gretton, A.: Fast Kernel-Based Independent Component Analysis. IEEE Transactions on Signal Processing 57 (9), pp. 3498 - 3511 (2009)

Jegelka, S.; Gretton, A.: Brisk Kernel ICA. In: Large Scale Kernel Machines, pp. 225 - 250 (Eds. Bottou, L.; Chapelle, O.; DeCoste, D.; Weston, J.). MIT Press, Cambridge, MA, USA (2007)

Jegelka, S.; Bilmes, J.: Submodularity beyond submodular energies: coupling edges in graph cuts. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), pp. 1897 - 1904. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), Colorado Springs, CO, USA, June 20, 2011 - June 25, 2011. IEEE, Piscataway, NJ, USA (2011)

Jegelka, S.; Bilmes, J.: Online algorithms for submodular minimization with combinatorial constraints. In: NIPS 2010 Workshop on Discrete Optimization in Machine Learning: Structures, Algorithms and Applications (DISCML), pp. 1 - 6. NIPS 2010 Workshop on Discrete Optimization in Machine Learning: Structures, Algorithms and Applications (DISCML), Whistler, BC, Canada, December 11, 2010. (2010)

Jegelka, S.; Bilmes, J.: Notes on Graph Cuts with Submodular Edge Weights. In: NIPS 2009 Workshop on Discrete Optimization in Machine Learning: Submodularity, Sparsity & Polyhedra (DISCML), pp. 1 - 6. NIPS 2009 Workshop on Discrete Optimization in Machine Learning: Submodularity, Sparsity Polyhedra (DISCML), Whistler, BC, Canada. (2009)

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)

Jegelka, S.; Gretton, A.; Schölkopf, B.; Sriperumbudur, B.; von Luxburg, U.: Generalized Clustering via Kernel Embeddings. In: KI 2009: Advances in Artificial Intelligence: 32nd Annual German Conference on AI, Paderborn, Germany, September 15-18, 2009, pp. 144 - 152 (Eds. Mertsching, B.; Hund, M.; Aziz, Z.). 32nd Annual Conference on Artificial Intelligence (KI 2009), Paderborn, Germany, September 15, 2009 - September 18, 2009. Springer, Berlin, Germany (2009)

Nowozin, S.; Jegelka, S.: Solution Stability in Linear Programming Relaxations: Graph Partitioning and Unsupervised Learning. In: ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 769 - 776 (Eds. Danyluk, A.; Bottou, L.; Littman, M.). 26th International Conference on Machine Learning (ICML 2009), Montreal, Canada, June 14, 2009 - June 18, 2009. ACM Press, New York, NY, USA (2009)

von Luxburg, U.; Bubeck, S.; Jegelka, S.; Kaufmann, M.: Consistent Minimization of Clustering Objective Functions. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, pp. 961 - 968 (Eds. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, December 03, 2007 - December 06, 2007. Curran, Red Hook, NY, USA (2008)

Shen, H.; Jegelka, S.; Gretton, A.: Fast Kernel ICA using an Approximate Newton Method. In: Artificial Intelligence and Statistics, 21-24 March 2007, San Juan, Puerto Rico, pp. 476 - 483 (Eds. Meila, M.; shen, X.). 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), San Juan, Puerto Rico, March 21, 2007 - March 24, 2007. International Machine Learning Society, Madison, WI, USA (2007)

Jegelka, S.; Gretton, A.; Achlioptas, P.: Kernel ICA for Large Scale Problems. In: NIPS 2005 Workshop on Large Scale Kernel Machines, p. -. NIPS 2005 Workshop on Large Scale Kernel Machines, Vancouver, BC, Canada. (2005)

Jegelka, S.; Bilmes, J.: Cooperative Cuts: Graph Cuts with Submodular Edge Weights. In 24th European Conference on Operational Research (EURO XXIV), p. 171. 24th European Conference on Operational Research (EURO XXIV), Lisboa, Portugal, July 11, 2010 - July 14, 2010. (2010)

Jegelka, S.: Cooperative Cuts: a new use of submodularity in image segmentation. Second I.S.T. Austria Symposium on Computer Vision and Machine Learning, Klosterneuburg, Austria (2011)

Jegelka, S.: Cooperative Cuts. COSA Workshop: Combinatorial Optimization, Statistics, and Applications, München, Germany (2011)

Lippert, C.; Stegle, O.; Jegelka, S.; Altun, Y.; Borgwardt, K.: Predicting related traits from SNP markers by multi-task learning. German Conference on Bioinformatics (GCB 2009), Halle, Germany (2009)

Jegelka, S.: Statistical Learning Theory Approaches to Clustering. Diploma, 107 pp., Eberhard-Karls-Universität, Tübingen, Germany (2007)

Jegelka, S.; Bilmes, J.: Cooperative Cuts for Image Segmentation (UWEE Technical Report, UWEETR-1020-0003). Department of Electrical Engineering, University of Washington, Seattle, WA, USA (2010), 21 pp.

Jegelka, S.; Bilmes, J.: Cooperative Cuts: Graph Cuts with Submodular Edge Weights (Technical Report of the Max Planck Institute for Biological Cybernetics, 189). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 32 pp.

Sra, S.; Jegelka, S.; Banerjee, A.: Approximation Algorithms for Bregman Clustering Co-clustering and Tensor Clustering (Technical Report of the Max Planck Institute for Biological Cybernetics, 177). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 21 pp.

Kulis, B.; Sra, S.; Jegelka, S.; Dhillon, I.: Scalable Semidefinite Programming using Convex Perturbations. University of Texas, Austin, TX, USA (2007), 14 pp.