Kilian Q. Weinberger

Department of Computer Science and Engineering, Washington University in St. Louis

	2012
30		Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle, Dor Kedem: Classifier Cascade for Minimizing Feature Evaluation Cost. Journal of Machine Learning Research - Proceedings Track 22: 218-226 (2012)
	2011
29		John Shawe-Taylor, Richard S. Zemel, Peter L. Bartlett, Fernando C. N. Pereira, Kilian Q. Weinberger: Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain. NIPS 2011
28		Anirudh Ramachandran, Anirban Dasgupta, Nick Feamster, Kilian Q. Weinberger: Spam or ham?: characterizing and detecting fraudulent "not spam" reports in web mail systems. CEAS 2011: 210-219
27		Minmin Chen, Kilian Q. Weinberger, Yixin Chen: Automatic Feature Decomposition for Single View Co-training. ICML 2011: 953-960
26		Minmin Chen, Kilian Q. Weinberger, John Blitzer: Co-Training for Domain Adaptation. NIPS 2011: 2456-2464
25		Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal, Jennifer Paykin: Parallel boosted regression trees for web search ranking. WWW 2011: 387-396
24		Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha: Rapid Feature Learning with Stacked Linear Denoisers CoRR abs/1105.0972: (2011)
23		Ananth Mohan, Zheng Chen, Kilian Q. Weinberger: Web-Search Ranking with Initialized Gradient Boosted Regression Trees. Journal of Machine Learning Research - Proceedings Track 14: 77-89 (2011)
22		Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng: Boosted multi-task learning. Machine Learning 85(1-2): 149-173 (2011)
	2010
21		Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng: Multi-task learning for boosting with application to web search ranking. KDD 2010: 1189-1198
20		Yuzong Liu, Mohit Sharma, Charles M. Gaona, Jonathan Breshears, Jarod Roland, Zachary Freudenburg, Kilian Q. Weinberger, Eric Leuthardt: Decoding Ipsilateral Finger Movements from ECoG Signals in Humans. NIPS 2010: 1468-1476
19		Shibin Parameswaran, Kilian Q. Weinberger: Large Margin Multi-Task Metric Learning. NIPS 2010: 1867-1875
18		Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger: Learning to rank with (a lot of) word features. Inf. Retr. 13(3): 291-314 (2010)
	2009
17		Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger: Supervised semantic indexing. CIKM 2009: 187-196
16		Kilian Q. Weinberger, Anirban Dasgupta, John Langford, Alexander J. Smola, Josh Attenberg: Feature hashing for large scale multitask learning. ICML 2009: 140
15		Kilian Q. Weinberger, Anirban Dasgupta, Josh Attenberg, John Langford, Alex J. Smola: Feature Hashing for Large Scale Multitask Learning CoRR abs/0902.2206: (2009)
14		Kilian Q. Weinberger, Lawrence K. Saul: Distance Metric Learning for Large Margin Nearest Neighbor Classification. Journal of Machine Learning Research 10: 207-244 (2009)
	2008
13		Kilian Q. Weinberger, Malcolm Slaney, Roelof van Zwol: Resolving tag ambiguity. ACM Multimedia 2008: 111-120
12		Kilian Q. Weinberger, Lawrence K. Saul: Fast solvers and efficient implementations for distance metric learning. ICML 2008: 1160-1167
11		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
10		Malcolm Slaney, Kilian Q. Weinberger, William White: Learning a Metric for Music Similarity. ISMIR 2008: 313-318
9		Kilian Q. Weinberger, Olivier Chapelle: Large Margin Taxonomy Embedding for Document Categorization. NIPS 2008: 1737-1744
	2007
8		Kilian Q. Weinberger, Gerald Tesauro: Metric Learning for Kernel Regression. Journal of Machine Learning Research - Proceedings Track 2: 612-619 (2007)
	2006
7		Kilian Q. Weinberger, Lawrence K. Saul: An Introduction to Nonlinear Dimensionality Reduction by Maximum Variance Unfolding. AAAI 2006: 1683-1686
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	Kunal Agrawal	[25]
2	Josh Attenberg	[15] [16]
3	Bing Bai	[17] [18]
4	Peter L. Bartlett	[29]
5	John Blitzer (John C. Blitzer)	[1] [4] [26]
6	Jonathan Breshears	[20]
7	Olivier Chapelle	[9] [17] [18] [21] [22] [30]
8	Minmin Chen	[26] [27] [30]
9	Yixin Chen	[27]
10	Zheng Chen	[23]
11	Ronan Collobert	[17] [18]
12	Anirban Dasgupta	[15] [16] [28]
13	Nick Feamster	[28]
14	Zachary Freudenburg	[20]
15	Charles M. Gaona	[20]
16	David Grangier	[17] [18]
17	Pincelli M. Hull	[11]
18	Dor Kedem	[30]
19	John Langford	[15] [16]
20	Eric Leuthardt	[20]
21	Joshua M. Lewis	[11]
22	Yuzong Liu	[20]
23	Ananth Mohan	[23]
24	Shibin Parameswaran	[19]
25	Jennifer Paykin	[25]
26	Fernando Pereira (Fernando Manuel Bernardo Pereira)	[1]
27	Fernando C. N. Pereira	[29]
28	Yanjun Qi	[17] [18]
29	Anirudh Ramachandran	[28]
30	Jarod Roland	[20]
31	Kunihiko Sadamasa	[17] [18]
32	Lawrence K. Saul	[1] [2] [3] [4] [5] [6] [7] [11] [12] [14]
33	Fei Sha	[2] [6] [24]
34	Mohit Sharma	[20]
35	John Shawe-Taylor	[29]
36	Pannagadatta K. Shivaswamy (Pannaga Shivaswamy)	[21] [22]
37	Malcolm Slaney	[10] [13]
38	Alexander J. Smola (Alex J. Smola)	[15] [16]
39	Gerald Tesauro	[8]
40	Belle L. Tseng	[21] [22]
41	Stephen Tyree	[25]
42	Srinivas Vadrevu	[21] [22]
43	Jason Weston	[17] [18]
44	William White	[10]
45	Zhixiang Eddie Xu	[24] [30]
46	Richard S. Zemel	[29]
47	Ya Zhang	[21] [22]
48	Qihui Zhu	[6]
49	Roelof van Zwol	[13]

Colors in the list of coauthors

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