Kilian Q. Weinberger

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

The Greedy Miser: Learning under Test-time Budgets.

[BibT_eX]

[DOI]

Zhixiang Eddie Xu

Proceedings of the 29th International Conference on Machine Learning, 2012

Marginalized Denoising Autoencoders for Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

From sBoW to dCoT marginalized encoders for text representation.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Boosted multi-task learning.

[BibT_eX]

[DOI]

Pannagadatta K. Shivaswamy

Mach. Learn., 2011

Web-Search Ranking with Initialized Gradient Boosted Regression Trees.

[BibT_eX]

[DOI]

Ananth Mohan

Zheng Chen

Proceedings of the Yahoo! Learning to Rank Challenge, 2011

Rapid Feature Learning with Stacked Linear Denoisers

[BibT_eX]

[DOI]

Zhixiang Eddie Xu

Fei Sha

CoRR, 2011

Parallel boosted regression trees for web search ranking.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on World Wide Web, 2011

Co-Training for Domain Adaptation.

[BibT_eX]

[DOI]

Minmin Chen

John Blitzer

Proceedings of the 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, 2011

Automatic Feature Decomposition for Single View Co-training.

[BibT_eX]

[DOI]

Minmin Chen

Yixin Chen

Proceedings of the 28th International Conference on Machine Learning, 2011

Spam or ham?: characterizing and detecting fraudulent "not spam" reports in web mail systems.

[BibT_eX]

[DOI]

Proceedings of the 8th Annual Collaboration, 2011

2010

Convex Optimizations for Distance Metric Learning and Pattern Classification [Applications Corner].

[BibT_eX]

[DOI]

Fei Sha

IEEE Signal Process. Mag., 2010

Learning to rank with (a lot of) word features.

[BibT_eX]

[DOI]

Inf. Retr., 2010

Large Margin Multi-Task Metric Learning.

[BibT_eX]

[DOI]

Shibin Parameswaran

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Decoding Ipsilateral Finger Movements from ECoG Signals in Humans.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Multi-task learning for boosting with application to web search ranking.

[BibT_eX]

[DOI]

Pannagadatta K. Shivaswamy

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Distance Metric Learning for Large Margin Nearest Neighbor Classification.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2009

Unsupervised image ranking.

[BibT_eX]

[DOI]

Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining, 2009

Feature hashing for large scale multitask learning.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Supervised semantic indexing.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Large Margin Taxonomy Embedding for Document Categorization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Resolving tag ambiguity.

[BibT_eX]

[DOI]

Malcolm Slaney

Roelof van Zwol

Proceedings of the 16th International Conference on Multimedia 2008, 2008

Learning a Metric for Music Similarity.

[BibT_eX]

[DOI]

Malcolm Slaney

William White

Proceedings of the ISMIR 2008, 2008

Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Fast solvers and efficient implementations for distance metric learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

2007

Metric Learning for Kernel Regression.

[BibT_eX]

[DOI]

Gerald Tesauro

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

2006

Unsupervised Learning of Image Manifolds by Semidefinite Programming.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2006

Graph Laplacian Regularization for Large-Scale Semidefinite Programming.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

An Introduction to Nonlinear Dimensionality Reduction by Maximum Variance Unfolding.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

Spectral Methods for Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the Semi-Supervised Learning, 2006

2005

Distance Metric Learning for Large Margin Nearest Neighbor Classification.

[BibT_eX]

[DOI]

John Blitzer

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization.

[BibT_eX]

[DOI]

Benjamin Packer

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Hierarchical Distributed Representations for Statistical Language Modeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Learning a kernel matrix for nonlinear dimensionality reduction.

[BibT_eX]

[DOI]

Fei Sha