Kilian Q. Weinberger

	2009
14		Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger: Supervised semantic indexing. CIKM 2009: 187-196
13		Kilian Q. Weinberger, Anirban Dasgupta, John Langford, Alexander J. Smola, Josh Attenberg: Feature hashing for large scale multitask learning. ICML 2009: 140
12		Kilian Q. Weinberger, Anirban Dasgupta, Josh Attenberg, John Langford, Alex J. Smola: Feature Hashing for Large Scale Multitask Learning CoRR abs/0902.2206: (2009)
	2008
11		Kilian Q. Weinberger, Malcolm Slaney, Roelof van Zwol: Resolving tag ambiguity. ACM Multimedia 2008: 111-120
10		Kilian Q. Weinberger, Lawrence K. Saul: Fast solvers and efficient implementations for distance metric learning. ICML 2008: 1160-1167
9		Joshua M. Lewis, Pincelli M. Hull, Kilian Q. Weinberger, Lawrence K. Saul: Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data. ICMLA 2008: 388-395
8		Kilian Q. Weinberger, Olivier Chapelle: Large Margin Taxonomy Embedding for Document Categorization. NIPS 2008: 1737-1744
	2006
7		Kilian Q. Weinberger, Lawrence K. Saul: An Introduction to Nonlinear Dimensionality Reduction by Maximum Variance Unfolding. AAAI 2006
6		Kilian Q. Weinberger, Fei Sha, Qihui Zhu, Lawrence K. Saul: Graph Laplacian Regularization for Large-Scale Semidefinite Programming. NIPS 2006: 1489-1496
5		Kilian Q. Weinberger, Lawrence K. Saul: Unsupervised Learning of Image Manifolds by Semidefinite Programming. International Journal of Computer Vision 70(1): 77-90 (2006)
	2005
4		Kilian Q. Weinberger, John Blitzer, Lawrence K. Saul: Distance Metric Learning for Large Margin Nearest Neighbor Classification. NIPS 2005
	2004
3		Kilian Q. Weinberger, Lawrence K. Saul: Unsupervised Learning of Image Manifolds by Semidefinite Programming. CVPR (2) 2004: 988-995
2		Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul: Learning a kernel matrix for nonlinear dimensionality reduction. ICML 2004
1		John Blitzer, Kilian Q. Weinberger, Lawrence K. Saul, Fernando Pereira: Hierarchical Distributed Representations for Statistical Language Modeling. NIPS 2004

Coauthor Index

1	Josh Attenberg	[12] [13]
2	Bing Bai	[14]
3	John Blitzer	[1] [4]
4	Olivier Chapelle	[8] [14]
5	Ronan Collobert	[14]
6	Anirban Dasgupta	[12] [13]
7	David Grangier	[14]
8	Pincelli M. Hull	[9]
9	John Langford	[12] [13]
10	Joshua M. Lewis	[9]
11	Fernando Pereira	[1]
12	Yanjun Qi	[14]
13	Kunihiko Sadamasa	[14]
14	Lawrence K. Saul	[1] [2] [3] [4] [5] [6] [7] [9] [10]
15	Fei Sha	[2] [6]
16	Malcolm Slaney	[11]
17	Alexander J. Smola (Alex J. Smola)	[12] [13]
18	Jason Weston	[14]
19	Qihui Zhu	[6]
20	Roelof van Zwol	[11]

Colors in the list of coauthors