Tony Jebara

According to our database1, Tony Jebara authored at least 81 papers between 1997 and 2018.

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Bibliography

2018
Variational Autoencoders for Collaborative Filtering.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Item Recommendation with Variational Autoencoders and Heterogeneous Priors.
Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, 2018

Artwork personalization at netflix.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Subgoal Discovery for Hierarchical Dialogue Policy Learning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
A Privacy Analysis of Cross-device Tracking.
Proceedings of the 26th USENIX Security Symposium, 2017

Initialization and Coordinate Optimization for Multi-way Matching.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Frank-Wolfe Algorithms for Saddle Point Problems.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Code relatives: detecting similarly behaving software.
Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Binary embeddings with structured hashed projections.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Bethe Learning of Graphical Models via MAP Decoding.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Collaborative Place Models.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Understanding the Bethe Approximation: When and How can it go Wrong?
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Approximating the Bethe Partition Function.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Clamping Variables and Approximate Inference.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Making Pairwise Binary Graphical Models Attractive.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Collaborative Ranking for Local Preferences.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Perfect Graphs and Graphical Modeling.
Proceedings of the Tractability: Practical Approaches to Hard Problems, 2014

2013
Semi-supervised learning using greedy max-cut.
Journal of Machine Learning Research, 2013

On MAP Inference by MWSS on Perfect Graphs.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

A multi-agent control framework for co-adaptation in brain-computer interfaces.
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

Adaptive Anonymity via b-Matching.
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.
Proceedings of the 30th International Conference on Machine Learning, 2013

Fast Spectral Clustering via the Nyström Method.
Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013

Bethe Bounds and Approximating the Global Optimum.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Majorization for CRFs and Latent Likelihoods.
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.
Journal of Machine Learning Research, 2011

Fast b-matching via Sufficient Selection Belief Propagation.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

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

2010
Empirical Bernstein Boosting.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Maximum Relative Margin and Data-Dependent Regularization.
Journal of Machine Learning Research, 2010

Collaborative Filtering via Rating Concentration.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

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

2009
MAP Estimation, Message Passing, and Perfect Graphs.
Proceedings of the UAI 2009, 2009

Structured Prediction Models for Chord Transcription of Music Audio.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Structured Prediction with Relative Margin.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Exact Graph Structure Estimation with Degree Priors.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Transformation Learning Via Kernel Alignment.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Structure preserving embedding.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Graph construction and b-matching for semi-supervised learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Bayesian Out-Trees.
Proceedings of the UAI 2008, 2008

Relative Margin Machines.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Graph transduction via alternating minimization.
Proceedings of the Machine Learning, 2008

Semantic Concept Classification by Joint Semi-supervised Learning of Feature Subspaces and Support Vector Machines.
Proceedings of the Computer Vision, 2008

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

Minimum Volume Embedding.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Multi-object tracking with representations of the symmetric group.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Loopy Belief Propagation for Bipartite Maximum Weight b-Matching.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

New trends in Cognitive Science: Integrative approaches to learning and development.
Neurocomputing, 2007

Density Estimation under Independent Similarly Distributed Sampling Assumptions.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Learning Monotonic Transformations for Classification.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Spectral Clustering and Embedding with Hidden Markov Models.
Proceedings of the Machine Learning: ECML 2007, 2007

2006
Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure.
Bioinformatics, 2006

An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Gaussian and Wishart Hyperkernels.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Permutation invariant SVMs.
Proceedings of the Machine Learning, 2006

Nonstationary kernel combination.
Proceedings of the Machine Learning, 2006

B-Matching for Spectral Clustering.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Clustered Blockwise PCA for Representing Visual Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

2004
Probability Product Kernels.
Journal of Machine Learning Research, 2004

Dynamical Systems Trees.
Proceedings of the UAI '04, 2004

An SVM Learning Approach to Robotic Grasping.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Multi-task feature and kernel selection for SVMs.
Proceedings of the Machine Learning, 2004

Kernelizing Sorting, Permutation, and Alignment for Minimum Volume PCA.
Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004

2003
A Kernel Between Sets of Vectors.
Proceedings of the Machine Learning, 2003

Images as Bags of Pixels.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Bhattacharyya Expected Likelihood Kernels.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003

Convex Invariance Learning.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2000
Bayesian face recognition.
Pattern Recognition, 2000

Feature Selection and Dualities in Maximum Entropy Discrimination.
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.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Maximum Entropy Discrimination.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

An Interactive Computer Vision System DyPERS: Dynamic Personal Enhanced Reality System.
Proceedings of the Computer Vision Systems, First International Conference, 1999

Action Reaction Learning: Automatic Visual Analysis and Synthesis of Interactive Behaviour.
Proceedings of the Computer Vision Systems, First International Conference, 1999

1998
Bayesian Modeling of Facial Similarity.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Efficient MAP/ML similarity matching for visual recognition.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Mixtures of Eigen Features for Real-Time Structure from Texture.
ICCV, 1998

1997
Stochasticks: Augmenting the Billiards Experience with Probabilistic Vision and Wearable Computers.
Proceedings of the First International Symposium on Wearable Computers (ISWC 1997), 1997

Parametrized structure from motion for 3D adaptive feedback tracking of faces.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997


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