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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
- Resolving Tag Ambiguity Kilian Weinberger; Malcolm Slaney; Roelof Zwol, ACM Multimedia, ACM, 2008 [view abstract]
- Learning a metric for music similiarity Malcolm Slaney; Kilian Weinberger; William White, Proceedings of the International Society of Music-Information Retrieval, 2008 [view abstract]
- 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]