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Kilian Q. Weinberger
Author information
- Department of Computer Science and Engineering, Washington University in St. Louis
2010 – today
- 2013
[i6]Zhixiang Eddie Xu, Minmin Chen, Kilian Q. Weinberger, Fei Sha: An alternative text representation to TF-IDF and Bag-of-Words. CoRR abs/1301.6770 (2013)- 2012
- [j7]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)
- [c24]Zhixiang Eddie Xu, Minmin Chen, Kilian Q. Weinberger, Fei Sha: From sBoW to dCoT marginalized encoders for text representation. CIKM 2012: 1879-1884
- [c23]Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha: Marginalized Denoising Autoencoders for Domain Adaptation. ICML 2012
- [c22]Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle: The Greedy Miser: Learning under Test-time Budgets. ICML 2012
- [c21]Dor Kedem, Stephen Tyree, Kilian Q. Weinberger, Fei Sha, Gert R. G. Lanckriet: Non-linear Metric Learning. NIPS 2012: 2582-2590
- [e2]Peter L. Bartlett, Fernando C. N. Pereira, Christopher J. C. Burges, Léon Bottou, Kilian Q. Weinberger (Eds.): Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States. 2012
- [i5]Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha: Marginalized Denoising Autoencoders for Domain Adaptation. CoRR abs/1206.4683 (2012)
- [i4]Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle: Distance Metric Learning for Kernel Machines. CoRR abs/1208.3422 (2012)
- [i3]Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen: Cost-Sensitive Tree of Classifiers. CoRR abs/1210.2771 (2012)
- 2011
- [j6]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)
- [j5]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)
- [c20]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
- [c19]Minmin Chen, Kilian Q. Weinberger, Yixin Chen: Automatic Feature Decomposition for Single View Co-training. ICML 2011: 953-960
- [c18]Minmin Chen, Kilian Q. Weinberger, John Blitzer: Co-Training for Domain Adaptation. NIPS 2011: 2456-2464
- [c17]Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal, Jennifer Paykin: Parallel boosted regression trees for web search ranking. WWW 2011: 387-396
- [e1]John Shawe-Taylor, Richard S. Zemel, Peter L. Bartlett, Fernando C. N. Pereira, Kilian Q. Weinberger (Eds.): 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. 2011
- [i2]Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha: Rapid Feature Learning with Stacked Linear Denoisers. CoRR abs/1105.0972 (2011)
- 2010
- [j4]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)
- [c16]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
- [c15]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
- [c14]Shibin Parameswaran, Kilian Q. Weinberger: Large Margin Multi-Task Metric Learning. NIPS 2010: 1867-1875
2000 – 2009
- 2009
- [j3]Kilian Q. Weinberger, Lawrence K. Saul: Distance Metric Learning for Large Margin Nearest Neighbor Classification. Journal of Machine Learning Research 10: 207-244 (2009)
- [c13]Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger: Supervised semantic indexing. CIKM 2009: 187-196
- [c12]Kilian Q. Weinberger, Anirban Dasgupta, John Langford, Alexander J. Smola, Josh Attenberg: Feature hashing for large scale multitask learning. ICML 2009: 140
- [i1]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
- [c11]Kilian Q. Weinberger, Lawrence K. Saul: Fast solvers and efficient implementations for distance metric learning. ICML 2008: 1160-1167
- [c10]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
- [c9]Malcolm Slaney, Kilian Q. Weinberger, William White: Learning a Metric for Music Similarity. ISMIR 2008: 313-318
- [c8]Kilian Q. Weinberger, Malcolm Slaney, Roelof van Zwol: Resolving tag ambiguity. ACM Multimedia 2008: 111-120
- [c7]Kilian Q. Weinberger, Olivier Chapelle: Large Margin Taxonomy Embedding for Document Categorization. NIPS 2008: 1737-1744
- 2007
- [j2]Kilian Q. Weinberger, Gerald Tesauro: Metric Learning for Kernel Regression. Journal of Machine Learning Research - Proceedings Track 2: 612-619 (2007)
- 2006
- [j1]Kilian Q. Weinberger, Lawrence K. Saul: Unsupervised Learning of Image Manifolds by Semidefinite Programming. International Journal of Computer Vision 70(1): 77-90 (2006)
- [c6]Kilian Q. Weinberger, Lawrence K. Saul: An Introduction to Nonlinear Dimensionality Reduction by Maximum Variance Unfolding. AAAI 2006: 1683-1686
- [c5]Kilian Q. Weinberger, Fei Sha, Qihui Zhu, Lawrence K. Saul: Graph Laplacian Regularization for Large-Scale Semidefinite Programming. NIPS 2006: 1489-1496
- 2005
- [c4]Kilian Q. Weinberger, John Blitzer, Lawrence K. Saul: Distance Metric Learning for Large Margin Nearest Neighbor Classification. NIPS 2005
- 2004
- [c3]Kilian Q. Weinberger, Lawrence K. Saul: Unsupervised Learning of Image Manifolds by Semidefinite Programming. CVPR (2) 2004: 988-995
- [c2]Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul: Learning a kernel matrix for nonlinear dimensionality reduction. ICML 2004
- [c1]John Blitzer, Kilian Q. Weinberger, Lawrence K. Saul, Fernando Pereira: Hierarchical Distributed Representations for Statistical Language Modeling. NIPS 2004
Coauthor Index
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last updated on 2013-02-25 18:37 CET by the dblp team