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Research Area: Machine Learning |
Profile
Kilian Weinberger is a Research Scientist at Yahoo Research in Santa Clara, California. He works on next-generation spam filtering algorithms, multimedia search and machine learning with convex optimization. He received a Ph.D. in Computer Science at the University of Pennsylvania for his work on metric learning with convex optimization in 2007 under the supervision of Prof. Lawrence Saul. Prior to his doctoral studies he earned a first class honor BA in Mathematics and Computer Science from the University of Oxford.
Recent Publications, Projects and News
- Mapping uncharted waters: exploratory analysis, visualization, and clustering of oceanographic data. J. M. Lewis, P. M. Hull, K. Q. Weinberger, and L. K. Saul, International Conference on Machine Learning Applications, 2008 [view abstract]
- Fast Solvers and Efficient Implementations for Distance Metric Learning Kilian Q. Weinberger; Lawrence K. Saul, International Conference on Machine Learning (ICML), 2008 [view abstract]
- Large Margin Taxonomy Embedding with an Application to Document Categorization Kilian Weinberger; Olivier Chapelle, Neural Information Processing Systems (NIPS), 2008 [view abstract]
- Metric Learning with Convex Optimization K. Q. Weinberger, Computer and Information Science, University of Pennsylvania, 2007 [view abstract]
- Graph Laplacian methods for large-scale semidefinite programming, with an application to sensor localization Weinberger, Kilian ; Sha, Fei ; Zhu, Qihui ; Saul, Lawrence, Advances in Neural Information Processing Systems 19, MIT Press, 2007
- Metric Learning for Kernel Regression Weinberger, Kilian ; Tesauro, Gerald, Eleventh International Conference on Artificial Intelligence and Statistics, Omnipress, 2007
- Spectral methods for dimensionality reduction Saul, L. K. ; Weinberger, K. Q. ; Ham, J. H. ; Sha, F. ; Lee, D. D., Semisupervised Learning, MIT Press, 2006
- Unsupervised learning of image manifolds by semidefinite programming Weinberger, K. Q. ; Saul, L. K., International Journal of Computer Vision, 2006
- Distance Metric Learning for Large Margin Nearest Neighbor Classification Weinberger, Kilian ; Blitzer, John ; Saul, Lawrence, Advances in Neural Information Processing Systems 18, MIT Press, 2006
- Hierarchical Distributed Representations for Statistical Language Modeling Blitzer, John ; Weinberger, Kilian ; Saul, Lawrence ; Pereira, Fernando, Advances in Neural Information Processing Systems 17, MIT Press, 2005
- Unsupervised learning of image manifolds by semidefinite programming Weinberger, K. Q. ; Packer, B. D. ; Saul, L. K., Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005
- Learning a kernel matrix for nonlinear dimensionality reduction Weinberger, K. Q. ; Sha, F. ; Saul, L. K., Proceedings of the Twenty First International Conference on Machine Learning (ICML-04), 2004