Guy Lebanon

Haesun Park

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

The Landmark Selection Method for Multiple Output Prediction.

[BibT_eX]

[DOI]

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

Chebyshev approximations to the histogram χ<sup>2</sup> kernel.

[BibT_eX]

[DOI]

Fuxin Li

Cristian Sminchisescu

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Estimating Probabilities in Recommendation Systems.

[BibT_eX]

[DOI]

Mingxuan Sun

Paul Kidwell

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Unsupervised Supervised Learning II: Margin-Based Classification Without Labels.

[BibT_eX]

[DOI]

Pinar Donmez

J. Mach. Learn. Res., 2011

2010

Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels.

[BibT_eX]

[DOI]

Pinar Donmez

J. Mach. Learn. Res., 2010

Stochastic Composite Likelihood.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

Local Space-Time Smoothing for Versioned Documents

[BibT_eX]

[DOI]

Seungyeon Kim

CoRR, 2010

Linguistic Geometries for Unsupervised Dimensionality Reduction

[BibT_eX]

[DOI]

CoRR, 2010

Unsupervised Supervised Learning II: Training Margin Based Classifiers without Labels

[BibT_eX]

[DOI]

Pinar Donmez

CoRR, 2010

Visualizing differences in web search algorithms using the expected weighted hoeffding distance.

[BibT_eX]

[DOI]

Mingxuan Sun

Kevyn Collins-Thompson

Proceedings of the 19th International Conference on World Wide Web, 2010

Asymptotic Analysis of Generative Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Dimensionality Reduction for Text using Domain Knowledge.

[BibT_eX]

[DOI]

Proceedings of the COLING 2010, 2010

Local Space-Time Smoothing for Version Controlled Documents.

[BibT_eX]

[DOI]

Seungyeon Kim

Proceedings of the COLING 2010, 2010

2009

Beyond k-Anonymity: A Decision Theoretic Framework for Assessing Privacy Risk.

[BibT_eX]

[DOI]

Trans. Data Priv., 2009

Generalized isotonic conditional random fields.

[BibT_eX]

[DOI]

Mach. Learn., 2009

Statistical and Computational Tradeoffs in Stochastic Composite Likelihood.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Data transformations and representations for computation and visualization.

[BibT_eX]

[DOI]

Inf. Vis., 2009

Domain Knowledge Uncertainty and Probabilistic Parameter Constraints.

[BibT_eX]

[DOI]

Proceedings of the UAI 2009, 2009

Statistical Estimation of Word Acquisition with Application to Readability Prediction.

[BibT_eX]

[DOI]

Paul Kidwell

Kevyn Collins-Thompson

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

2008

Visualizing Incomplete and Partially Ranked Data.

[BibT_eX]

[DOI]

Paul Kidwell

William S. Cleveland

IEEE Trans. Vis. Comput. Graph., 2008

ARUBA: A Risk-Utility-Based Algorithm for Data Disclosure.

[BibT_eX]

[DOI]

Mohamed R. Fouad

Elisa Bertino

Proceedings of the Secure Data Management, 5th VLDB Workshop, 2008

Determining Placement of Intrusion Detectors for a Distributed Application through Bayesian Network Modeling.

[BibT_eX]

[DOI]

Gaspar Modelo-Howard

Saurabh Bagchi

Proceedings of the Recent Advances in Intrusion Detection, 11th International Symposium, 2008

Local likelihood modeling of temporal text streams.

[BibT_eX]

[DOI]

Yang Zhao

Proceedings of the Machine Learning, 2008

2007

Sequential Document Visualization.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2007

The Locally Weighted Bag of Words Framework for Document Representation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2007

Statistical Translation, Heat Kernels and Expected Distances.

[BibT_eX]

[DOI]

Proceedings of the UAI 2007, 2007

Non-parametric Modeling of Partially Ranked Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

Metric Learning for Text Documents.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Sequential Document Representations and Simplicial Curves.

[BibT_eX]

[DOI]

Proceedings of the UAI '06, 2006

Beyond <i>k</i>-Anonymity: A Decision Theoretic Framework for Assessing Privacy Risk.

[BibT_eX]

[DOI]

Proceedings of the Privacy in Statistical Databases, 2006

Isotonic Conditional Random Fields and Local Sentiment Flow.

[BibT_eX]

[DOI]

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

2005

Axiomatic geometry of conditional models.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2005

Diffusion Kernels on Statistical Manifolds.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2005

2004

An Extended Cencov-Campbell Characterization of Conditional Information Geometry.

[BibT_eX]

[DOI]

Proceedings of the UAI '04, 2004

Hyperplane margin classifiers on the multinomial manifold.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

2003

Learning Riemannian Metrics.

[BibT_eX]

[DOI]

Proceedings of the UAI '03, 2003

2002

Conditional Models on the Ranking Poset.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Information Diffusion Kernels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Cranking: Combining Rankings Using Conditional Probability Models on Permutations.

[BibT_eX]

Proceedings of the Machine Learning, 2002

2001

Boosting and Maximum Likelihood for Exponential Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Designing Moiré Patterns.

[BibT_eX]

[DOI]