Tony Jebara

Kui Tang

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

\(\propto\)SVM for Learning with Label Proportions.

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[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Fast Spectral Clustering via the Nyström Method.

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[DOI]

Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013

Bethe Bounds and Approximating the Global Optimum.

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[DOI]

Adrian Weller

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Majorization for CRFs and Latent Likelihoods.

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[DOI]

Anna Choromanska

Proceedings of the 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

2011

Multitask Sparsity via Maximum Entropy Discrimination.

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[DOI]

J. Mach. Learn. Res., 2011

Fast b-matching via Sufficient Selection Belief Propagation.

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[DOI]

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

Variance Penalizing AdaBoost.

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[DOI]

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

Learning a Distance Metric from a Network.

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[DOI]

Blake Shaw

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

A markov routing algorithm for mobile DTNs based on spatio-temporal modeling of human movement data.

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[DOI]

Arezu Moghadam

Henning Schulzrinne

Proceedings of the 14th International Symposium on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2011

2010

Empirical Bernstein Boosting.

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[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Maximum Relative Margin and Data-Dependent Regularization.

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[DOI]

J. Mach. Learn. Res., 2010

Collaborative Filtering via Rating Concentration.

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[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Laplacian Spectrum Learning.

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[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009

Approximating the Permanent with Belief Propagation

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[DOI]

CoRR, 2009

MAP Estimation, Message Passing, and Perfect Graphs.

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[DOI]

Proceedings of the UAI 2009, 2009

Structured Prediction Models for Chord Transcription of Music Audio.

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[DOI]

Adrian Weller

Daniel P. W. Ellis

Proceedings of the International Conference on Machine Learning and Applications, 2009

Structured Prediction with Relative Margin.

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[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2009

Exact Graph Structure Estimation with Degree Priors.

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[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2009

Transformation Learning Via Kernel Alignment.

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[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2009

Structure preserving embedding.

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[DOI]

Blake Shaw

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

Graph construction and <i>b</i>-matching for semi-supervised learning.

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[DOI]

Jun Wang

Shih-Fu Chang

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

2008

Bayesian Out-Trees.

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[DOI]

Proceedings of the UAI 2008, 2008

Relative Margin Machines.

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[DOI]

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

Graph transduction via alternating minimization.

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[DOI]

Jun Wang

Shih-Fu Chang

Proceedings of the Machine Learning, 2008

Semantic Concept Classification by Joint Semi-supervised Learning of Feature Subspaces and Support Vector Machines.

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[DOI]

Proceedings of the Computer Vision, 2008

2007

Ellipsoidal Machines.

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[DOI]

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

Minimum Volume Embedding.

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[DOI]

Blake Shaw

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

Multi-object tracking with representations of the symmetric group.

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[DOI]

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

Loopy Belief Propagation for Bipartite Maximum Weight b-Matching.

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[DOI]

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

New trends in Cognitive Science: Integrative approaches to learning and development.

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[DOI]

Gedeon O. Deák

Marni Stewart Bartlett

Neurocomputing, 2007

Density Estimation under Independent Similarly Distributed Sampling Assumptions.

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[DOI]

Yingbo Song

Kapil Thadani

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

Learning Monotonic Transformations for Classification.

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[DOI]

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

Spectral Clustering and Embedding with Hidden Markov Models.

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[DOI]

Yingbo Song

Kapil Thadani

Proceedings of the Machine Learning: ECML 2007, 2007

2006

Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure.

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[DOI]

Darrin P. Lewis

William Stafford Noble

Bioinform., 2006

An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments.

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[DOI]

Michael I. Mandel

Daniel P. W. Ellis

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

Gaussian and Wishart Hyperkernels.

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[DOI]

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

Permutation invariant SVMs.

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[DOI]

Proceedings of the Machine Learning, 2006

Nonstationary kernel combination.

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[DOI]

Darrin P. Lewis

William Stafford Noble

Proceedings of the Machine Learning, 2006

B-Matching for Spectral Clustering.

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[DOI]

Vlad Shchogolev

Proceedings of the Machine Learning: ECML 2006, 2006

2005

Clustered Blockwise PCA for Representing Visual Data.

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[DOI]

Ko Nishino

Shree K. Nayar

IEEE Trans. Pattern Anal. Mach. Intell., 2005

2004

Probability Product Kernels.

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[DOI]

J. Mach. Learn. Res., 2004

Dynamical Systems Trees.

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[DOI]

Proceedings of the UAI '04, 2004

An SVM Learning Approach to Robotic Grasping.

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[DOI]

Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Multi-task feature and kernel selection for SVMs.

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[DOI]

Proceedings of the Machine Learning, 2004

Kernelizing Sorting, Permutation, and Alignment for Minimum Volume PCA.

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[DOI]

Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004

2003

A Kernel Between Sets of Vectors.

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[DOI]

Proceedings of the Machine Learning, 2003

Images as Bags of Pixels.

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[DOI]

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Bhattacharyya Expected Likelihood Kernels.

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[DOI]

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

Convex Invariance Learning.

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[DOI]

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2000

Bayesian face recognition.

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[DOI]

Baback Moghaddam

Alex Pentland

Pattern Recognit., 2000

Feature Selection and Dualities in Maximum Entropy Discrimination.

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[DOI]

Tommi S. Jaakkola

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

On Reversing Jensen's Inequality.

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[DOI]

Alex Pentland

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

3D structure from 2D motion.

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[DOI]