|
Research Area: Machine Learning |
Recent Publications, Projects and News
- Resolving Tag Ambiguity Kilian Weinberger; Malcolm Slaney; Roelof Zwol, ACM Multimedia, 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]
- 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